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Merge branch 'master' of gitlab.inria.fr:lguegan/paper-lowrate-iot
This commit is contained in:
ORGERIE Anne-Cecile
commit
3aebb53593
296 changed files with 7195296 additions and 2169351 deletions
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@ -1 +0,0 @@
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loic@lguegan.1595:1558938768
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@ -36,6 +36,15 @@ Y.~Li, A.-C. Orgerie, I.~Rodero, B.~L. Amersho, M.~Parashar, and J.-M. Menaud,
|
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\url{https://linkinghub.elsevier.com/retrieve/pii/S0167739X17314309}
|
||||
\BIBentrySTDinterwordspacing
|
||||
|
||||
\bibitem{jalali_fog_2016}
|
||||
\BIBentryALTinterwordspacing
|
||||
F.~Jalali, K.~Hinton, R.~Ayre, T.~Alpcan, and R.~S. Tucker,
|
||||
``\BIBforeignlanguage{en}{Fog {Computing} {May} {Help} to {Save} {Energy} in
|
||||
{Cloud} {Computing}},'' \emph{\BIBforeignlanguage{en}{IEEE Journal on
|
||||
Selected Areas in Communications}}, vol.~34, no.~5, pp. 1728--1739, May 2016.
|
||||
[Online]. Available: \url{http://ieeexplore.ieee.org/document/7439752/}
|
||||
\BIBentrySTDinterwordspacing
|
||||
|
||||
\bibitem{orgerie_ecofen:_2011}
|
||||
A.~C. Orgerie, L.~Lefèvre, I.~Guérin-Lassous, and D.~M.~L. Pacheco,
|
||||
``{ECOFEN}: {An} {End}-to-end energy {Cost} {mOdel} and simulator {For}
|
||||
|
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@ -3,33 +3,32 @@
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|||
#+EXPORT_EXCLUDE_TAGS: noexport
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||||
#+STARTUP: hideblocks
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||||
#+OPTIONS: H:5 author:nil email:nil creator:nil timestamp:nil skip:nil toc:nil ^:nil
|
||||
#+LATEX_CLASS: IEEEtran
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||||
#+LATEX_CLASS: llncs
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#+LATEX_HEADER: \usepackage{hyperref}
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||||
#+LATEX_HEADER: \usepackage{booktabs}
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||||
#+LATEX_HEADER: \usepackage{subfigure}
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||||
#+LATEX_HEADER: \usepackage{graphicx}
|
||||
#+LATEX_HEADER: \IEEEoverridecommandlockouts
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||||
#+LATEX_HEADER: \author{\IEEEauthorblockN{1\textsuperscript{st} Anne-Cécile Orgerie}
|
||||
#+LATEX_HEADER: \IEEEauthorblockA{\textit{Univ Rennes, Inria, CNRS, IRISA, Rennes, France} \\
|
||||
#+LATEX_HEADER: Rennes, France \\
|
||||
#+LATEX_HEADER: anne-cecile.orgerie@irisa.fr}
|
||||
#+LATEX_HEADER: \and
|
||||
#+LATEX_HEADER: \IEEEauthorblockN{2\textsuperscript{nd} Loic Guegan}
|
||||
#+LATEX_HEADER: \IEEEauthorblockA{\textit{Univ Rennes, Inria, CNRS, IRISA, Rennes, France} \\
|
||||
#+LATEX_HEADER: Rennes, France \\
|
||||
#+LATEX_HEADER: loic.guegan@irisa.fr}
|
||||
#+LATEX_HEADER: \usepackage{xcolor}
|
||||
#+LATEX_HEADER: \author{
|
||||
#+LATEX_HEADER: Loic Guegan\inst{1},
|
||||
#+LATEX_HEADER: Anne-Cécile Orgerie\inst{2},\\
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||||
#+LATEX_HEADER: }
|
||||
#+LATEX_HEADER: \institute{Univ Rennes, Inria, CNRS, IRISA, Rennes, France\\
|
||||
#+LATEX_HEADER: Emails: anne-cecile.orgerie@irisa.fr\inst{1}, loic.guegan@irisa.fr\inst{2}
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||||
#+LATEX_HEADER: }
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||||
|
||||
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|
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#+BEGIN_EXPORT latex
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||||
\newcommand{\hl}[1]{\textcolor{red}{#1}}
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||||
#+END_EXPORT
|
||||
|
||||
#+BEGIN_EXPORT latex
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||||
\begin{abstract}
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||||
Information and Communication Technology takes a growing part in the worldwide energy consumption. One of the root causes of this increase lies in the multiplication of connected devices. Each object of the Internet-of-Things often does not consume much energy by itself. Yet, their number and the infrastructures they require to properly work have leverage. In this paper, we combine simulations and real measurements to study the energy impact of IoT devices. In particular, we analyze the energy consumption of Cloud and telecommunication infrastructures induced by the utilization of connected devices, and we propose an end-to-end energy consumption model for these devices.
|
||||
\end{abstract}
|
||||
|
||||
\begin{IEEEkeywords}
|
||||
component, formatting, style, styling, insert
|
||||
\end{IEEEkeywords}
|
||||
#+END_EXPORT
|
||||
|
||||
|
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|
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@ -117,13 +116,15 @@ Smart cities \cite{Ejaz2017}
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|||
The network part represents the a network section starting from the AP to the Cloud excluding the
|
||||
server. It is also model into ns-3. We consider the server to be 9 hops away from the AP with a
|
||||
typical round-trip latency of 100ms from the AP to the server. Each node from the AP to the Cloud
|
||||
is assume to be network switches with static and dynamic network energy consumption. ECOFEN
|
||||
\cite{orgerie_ecofen:_2011} is used to model the energy consumption of the network part. ECOFEN
|
||||
is a ns-3 network energy module dedicated to wired network. It is based on an energy-per-bit
|
||||
model including static energy consumption by assuming a linear relation between the amount of
|
||||
data sent to the network interface and its power consumption. The different energy values used to
|
||||
instantiate the ECOFEN energy model for the network part are shown in Table \ref{tab:net-energy}
|
||||
and come from previous work \cite{cornea_studying_2014-1}.
|
||||
is assume to be network switches with static and dynamic network energy consumption. The first 8
|
||||
hop are edge switches and the last one is consider to be a core switch as mention in
|
||||
\cite{jalali_fog_2016}. ECOFEN \cite{orgerie_ecofen:_2011} is used to model the energy
|
||||
consumption of the network part. ECOFEN is a ns-3 network energy module dedicated to wired
|
||||
network. It is based on an energy-per-bit model including static energy consumption by assuming a
|
||||
linear relation between the amount of data sent to the network interface and its power
|
||||
consumption. The different energy values used to instantiate the ECOFEN energy model for the
|
||||
network part are shown in Table \ref{tab:net-energy} and come from previous work
|
||||
\cite{cornea_studying_2014-1}.
|
||||
|
||||
** Cloud Part
|
||||
Finally, to measure the energy consumed by the server, we used real server from the large-scale
|
||||
|
|
@ -144,39 +145,41 @@ Smart cities \cite{Ejaz2017}
|
|||
** IoT/Network Consumption
|
||||
In a first place, we start by studying the impact of the sensors position on their energy
|
||||
consumption. To this end, we run several simulations in ns-3 with different sensors position. The
|
||||
results provided by Figure \ref{fig:sensorsPos} show that sensors position have a very low impact
|
||||
results provided by Table \ref{tab:sensorsSendIntervalEffects} show that sensors position have a very low impact
|
||||
on the energy consumption and on the application delay. It has an impact of course, but it is very
|
||||
limited. This due to the fact that in such a scenario with very small number of communications
|
||||
spread over the time, sensors don't have to contend for accessing to the Wifi channel.
|
||||
|
||||
|
||||
#+BEGIN_EXPORT latex
|
||||
\begin{figure}
|
||||
\centering
|
||||
\includegraphics[width=0.6\linewidth]{./plots/sensorsPosition-delayenergy.png}
|
||||
\caption{Effects of sensors position on the application delay and the sensors energy consumption in a cell of 9 sensors.}
|
||||
\label{fig:sensorsPos}
|
||||
\end{figure}
|
||||
% Please add the following required packages to your document preamble:
|
||||
% \usepackage{booktabs}
|
||||
\begin{table*}[]
|
||||
\centering
|
||||
\caption{Sensors send interval effects}
|
||||
\label{tab:sensorsSendIntervalEffects}
|
||||
\begin{tabular}{@{}lrrrrr@{}}
|
||||
\toprule
|
||||
Sensors Send Interval & 10s & 30s & 50s & 70s & 90s \\ \midrule
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||||
Sensors Power Consumption & 13.517\hl{94}W & 13.517\hl{67}W & 13.51767W & 13.51767W & 13.517\hl{61}W \\
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||||
Network Power Consumption & 10.441\hl{78}W & 10.441\hl{67}W & 10.44161W & 10.44161W & 10.441\hl{61}W \\
|
||||
Average Appplication Delay & 17.81360s & 5.91265s & 3.53509s & 2.55086s & 1.93848s \\ \bottomrule
|
||||
\end{tabular}
|
||||
\end{table*}
|
||||
#+END_EXPORT
|
||||
|
||||
Previous work \cite{li_end--end_2018} on similar scenario shows that increasing application
|
||||
accuracy impact strongly the energy consumption in the context of data stream analysis. However,
|
||||
in our case, application accuracy is driven by the sensing interval and thus, the transmit
|
||||
frequency of the sensors. Therefore, we varied the transmission interval of the sensors from 1s
|
||||
to 60s. Figure \ref{fig:frequency} present the effects of the sensors transmission interval on
|
||||
the IoT/Network part energy consumption. In case of small and sporadic network traffic, these
|
||||
results show that with a reasonable transmission interval the energy consumption of the
|
||||
IoT/Network if almost not affected by the variation of this transmission interval. In fact,
|
||||
transmitted data are not large enough to leverage the energy consumed by the network.
|
||||
|
||||
#+BEGIN_EXPORT latex
|
||||
\begin{figure}
|
||||
\centering
|
||||
\includegraphics[scale=0.45]{./plots/sendFrequency-energy.png}
|
||||
\caption{Sensors send interval and its influence on the IoT/Network part energy consumption.}
|
||||
\label{fig:frequency}
|
||||
\end{figure}
|
||||
#+END_EXPORT
|
||||
|
||||
Previous work \cite{li_end--end_2018} on similar scenario shows that increasing application
|
||||
accuracy impact strongly the energy consumption in the context of data stream analysis. However,
|
||||
in our case, application accuracy is driven by the sensing interval and thus, the transmit
|
||||
frequency of the sensors. Therefore, we varied the transmission interval of the sensors from 1s
|
||||
to 60s. Some of these results are proposed on Table \ref{tab:sensorsSendIntervalEffects}. In
|
||||
case of small and sporadic network traffic, these results show that with a reasonable
|
||||
transmission interval the energy consumption of the IoT/Network if almost not affected by the
|
||||
variation of this transmission interval. In fact, transmitted data are not large enough to
|
||||
leverage the energy consumed by the network.
|
||||
|
||||
|
||||
|
||||
The number of sensors is a dominant factor that leverage the energy consumption of the
|
||||
IoT/Network part. Therefore, we varied the number of sensors in the Wifi cell to analyze its
|
||||
|
|
@ -274,7 +277,7 @@ Smart cities \cite{Ejaz2017}
|
|||
sensors. However, since we are using a single server, large-scale sensors deployment lead to an
|
||||
increasing consumption of energy in the IoT part. On the other side, network energy consumption
|
||||
is stable regarding to the number of sensors since the system use case do not required large data
|
||||
transfert. Thus, it is important to remember that, to save energy, we should maximize the number
|
||||
transfer. Thus, it is important to remember that, to save energy, we should maximize the number
|
||||
of sensors handle by each cloud server while keeping reasonable sensors request intervals.
|
||||
|
||||
#+BEGIN_EXPORT latex
|
||||
|
|
@ -307,7 +310,7 @@ Smart cities \cite{Ejaz2017}
|
|||
simple plot function for them.
|
||||
|
||||
#+NAME: RUtils
|
||||
#+BEGIN_SRC R :eval never
|
||||
#+BEGIN_SRC R :eval never
|
||||
library("tidyverse")
|
||||
|
||||
# Fell free to update the following
|
||||
|
|
@ -321,6 +324,7 @@ Smart cities \cite{Ejaz2017}
|
|||
if("sensorsEnergy"%in%colnames(data)){ # If it is ns3 logs
|
||||
data=data%>%mutate(sensorsEnergy=sensorsEnergy/ns3SimTime) # Convert to watts
|
||||
data=data%>%mutate(networkEnergy=networkEnergy/ns3SimTime)
|
||||
data=data%>%mutate(networkEnergy=networkEnergy+getSwitchesIDLE(sensorsNumber,sensorsSendInterval)) # Add Idle conso of switches
|
||||
data=data%>%mutate(totalEnergy=totalEnergy/ns3SimTime)
|
||||
}
|
||||
else{ # Log from g5k
|
||||
|
|
@ -329,6 +333,32 @@ Smart cities \cite{Ejaz2017}
|
|||
}
|
||||
}
|
||||
|
||||
|
||||
getSwitchesIDLE=function(nbSensors, sendInterval){
|
||||
pktSize=192
|
||||
nEdgeRouter=8
|
||||
nCoreRouter=1
|
||||
|
||||
EdgeIdle=4095
|
||||
EdgeMax=4550
|
||||
EdgeTraffic=560*10^9
|
||||
|
||||
CoreIdle=11070
|
||||
CoreMax=12300
|
||||
CoreTraffic=4480*10^9
|
||||
|
||||
# Apply 0.6 factor
|
||||
EdgeTraffic=EdgeTraffic*0.6
|
||||
CoreTraffic=CoreTraffic*0.6
|
||||
|
||||
totalTraffic=pktSize/sendInterval*nbSensors
|
||||
|
||||
EdgeConso=EdgeIdle*(totalTraffic/EdgeTraffic)
|
||||
CoreConso=CoreIdle*(totalTraffic/CoreTraffic)
|
||||
|
||||
return(EdgeConso+CoreConso)
|
||||
}
|
||||
|
||||
# Get label according to varName
|
||||
getLabel=function(varName){
|
||||
if(is.na(labels[varName])){
|
||||
|
|
@ -345,7 +375,11 @@ Smart cities \cite{Ejaz2017}
|
|||
scale_colour_manual(values=palette)
|
||||
return(plot)
|
||||
}
|
||||
|
||||
#+END_SRC
|
||||
|
||||
|
||||
|
||||
**** Bash
|
||||
***** Plots -> PDF
|
||||
Merge all plots in plots/ folder into a pdf file.
|
||||
|
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@ -474,10 +508,59 @@ Smart cities \cite{Ejaz2017}
|
|||
|
||||
|
||||
|
||||
|
||||
*** Plot Scripts
|
||||
**** Random R Scripts
|
||||
|
||||
Table sensorsSendInterval~Sensors+NetEnergyconsumption
|
||||
#+BEGIN_SRC R :noweb yes :results output
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||||
<<RUtils>>
|
||||
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
sensorsE=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15) %>%select(sensorsSendInterval,sensorsEnergy)%>%arrange(sensorsSendInterval)
|
||||
delay=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15) %>%select(sensorsSendInterval,avgDelay)%>%arrange(sensorsSendInterval)
|
||||
netE=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15) %>%select(sensorsSendInterval,networkEnergy)%>%arrange(sensorsSendInterval)
|
||||
formatData=right_join(sensorsE,netE)%>%right_join(delay)%>%filter(((sensorsSendInterval/10)%%2)!=0)
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||||
|
||||
print(t(formatData))
|
||||
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
: [,1] [,2] [,3] [,4] [,5]
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||||
: sensorsSendInterval 10.00000 30.00000 50.00000 70.00000 90.00000
|
||||
: sensorsEnergy 13.51794 13.51767 13.51767 13.51767 13.51761
|
||||
: networkEnergy 10.44178 10.44167 10.44161 10.44161 10.44161
|
||||
: avgDelay 17.81360 5.91265 3.53509 2.55086 1.93848
|
||||
|
||||
|
||||
|
||||
|
||||
Figure Sensors Position ~ Energy/Delay
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsPosition-delayenergy.png
|
||||
<<RUtils>>
|
||||
tr=11 # Offset to center delay plot
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
|
||||
data=data%>%filter(simKey=="SENSORSPOS",sensorsNumber==9)
|
||||
|
||||
p=ggplot(data,aes(y=sensorsEnergy,x=positionSeed,color="Energy"))+xlab(getLabel("Sensors Position Seed"))+ylab(getLabel("Sensors Power Consumption (W)"))+
|
||||
geom_line()+geom_point()+geom_line(aes(y=(avgDelay-tr),color="Delay"))+geom_point(aes(y=(avgDelay-tr),color="Delay"))+expand_limits(y=c(0,15))+
|
||||
scale_y_continuous(sec.axis = sec_axis(~.+tr, name = "Application Delay (s)")) +
|
||||
guides(color=guide_legend(title="Curves"))
|
||||
|
||||
p=applyTheme(p)
|
||||
p=p+theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -8, b = 0, l = 10)))
|
||||
|
||||
|
||||
|
||||
ggsave("plots/sensorsPosition-delayenergy.png",dpi=80, width=4, height=3.2)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsPosition-delayenergy.png]]
|
||||
|
||||
|
||||
|
||||
Watt per sensor on server
|
||||
#+BEGIN_SRC R :noweb yes :results output
|
||||
<<RUtils>>
|
||||
|
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@ -508,7 +591,7 @@ Smart cities \cite{Ejaz2017}
|
|||
data=data%>%group_by(vmSize)%>%mutate(energy=mean(energy))%>%slice(1L)%>%ungroup()
|
||||
data=data%>%mutate(vmSize=as.character(vmSize))
|
||||
|
||||
ggplot(data) + geom_bar(aes(x=vmSize,y=energy),stat="identity")+expand_limits(y=c(75,100))+ylab("Server Energy Consumption (W)")+
|
||||
ggplot(data) + geom_bar(aes(x=vmSize,y=energy),stat="identity")+expand_limits(y=c(75,100))+ylab("Server Power Consumption (W)")+
|
||||
xlab("Experiment Time (s)")+scale_y_log10()
|
||||
|
||||
|
||||
|
|
@ -558,7 +641,7 @@ Smart cities \cite{Ejaz2017}
|
|||
#+END_SRC
|
||||
|
||||
|
||||
#+BEGIN_SRC R :results graphics :noweb yes :file plot-final.png :session *R*
|
||||
#+BEGIN_SRC R :results graphics :noweb yes :file plots/plot-final.png :session *R*
|
||||
<<NS3-RUtils>>
|
||||
simTime=1800
|
||||
|
||||
|
|
@ -577,203 +660,148 @@ Smart cities \cite{Ejaz2017}
|
|||
data=rbind(dataNet,dataS)%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
|
||||
ggplot(data)+geom_bar(aes(x=sensorsNumber,y=energy,fill=type),stat="identity")+xlab("Sensors Number")+ylab("Power Consumption (W)")+guides(fill=guide_legend(title="Part"))
|
||||
ggsave("plot-final.png",dpi=80)
|
||||
ggsave("plots/plot-final.png",dpi=80)
|
||||
|
||||
#+END_SRC
|
||||
|
||||
**** Plot In Paper
|
||||
|
||||
Figure
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sendFrequency-energy.png
|
||||
Power sensors vs network
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/numberSensors-WIFINET.png :session *R*
|
||||
<<RUtils>>
|
||||
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
data=data%>%filter(simKey=="NBSENSORS")
|
||||
dataW=data%>%mutate(energy=sensorsEnergy)%>% mutate(type="Sensors") %>% select(sensorsNumber,energy,type)
|
||||
dataN=data%>%mutate(energy=networkEnergy)%>% mutate(type="Network") %>% select(sensorsNumber,energy,type)
|
||||
|
||||
data=rbind(dataN,dataW)
|
||||
data=data%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
data=data%>%mutate(sensorsNumber=fct_reorder(sensorsNumber,as.numeric(sensorsNumber)))
|
||||
data=data%>%filter(sensorsNumber%in%c(2,4,6,8,10))
|
||||
|
||||
p=ggplot(data)+geom_bar(aes(x=sensorsNumber,y=energy,fill=type),position="dodge",stat="identity")+
|
||||
xlab(getLabel("sensorsNumber"))+ ylab("Power Consumption (W)") + guides(fill=guide_legend(title=""))
|
||||
p=applyTheme(p)+theme(text = element_text(size=15))
|
||||
|
||||
size=5
|
||||
ggsave("plots/numberSensors-WIFINET.png",dpi=90,width=size,height=size-1)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/numberSensors-WIFINET.png]]
|
||||
|
||||
|
||||
Final plot: Energy cloud, network and sensors
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/final.png
|
||||
<<RUtils>>
|
||||
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
data=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15)
|
||||
# Linear Approx
|
||||
approx=function(data1, data2,nbSensors){
|
||||
x1=data1$sensorsNumber
|
||||
y1=data1$energy
|
||||
|
||||
p=ggplot(data,aes(y=totalEnergy,x=sensorsSendInterval))+
|
||||
xlab(getLabel("sensorsSendInterval"))+ylab(getLabel("Sensors And Network\nEnergy Consumption (W)"))+
|
||||
geom_line()+geom_point()+expand_limits(y=c(0,50))+
|
||||
guides(color=guide_legend(title="Curves"))+
|
||||
theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -13, b = 0, l = 7)))
|
||||
p=applyTheme(p)
|
||||
x2=data2$sensorsNumber
|
||||
y2=data2$energy
|
||||
|
||||
ggsave("plots/sendFrequency-energy.png",dpi=100, width=3, height=2.8)
|
||||
#+END_SRC
|
||||
a=((y2-y1)/(x2-x1))
|
||||
b=y1-a*x1
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sendFrequency-energy.png]]
|
||||
return(a*nbSensors+b)
|
||||
|
||||
}
|
||||
|
||||
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")
|
||||
|
||||
Figure Sensors Position ~ Energy/Delay
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsPosition-delayenergy.png
|
||||
<<RUtils>>
|
||||
tr=171 # Offset to center delay plot
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
|
||||
data=data%>%filter(simKey=="SENSORSPOS",sensorsNumber==9)
|
||||
|
||||
p=ggplot(data,aes(y=sensorsEnergy,x=positionSeed,color="Energy"))+xlab(getLabel("Sensors Position Seed"))+ylab(getLabel("Sensors Energy Consumption (W)"))+
|
||||
geom_line()+geom_point()+geom_line(aes(y=(avgDelay-tr),color="Delay"))+geom_point(aes(y=(avgDelay-tr),color="Delay"))+expand_limits(y=c(0,15))+
|
||||
scale_y_continuous(sec.axis = sec_axis(~.+tr, name = "Application Delay (s)")) +
|
||||
guides(color=guide_legend(title="Curves"))
|
||||
|
||||
p=applyTheme(p)
|
||||
p=p+theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -8, b = 0, l = 10)))
|
||||
# Cloud
|
||||
data20=data%>%filter(nbSensors==20)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
data100=data%>%filter(nbSensors==100)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
data300=data%>%filter(nbSensors==300)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
dataCloud=rbind(data20,data100,data300)%>%mutate(sensorsNumber=nbSensors)%>%mutate(type="Cloud")%>%select(sensorsNumber,energy,type)
|
||||
|
||||
|
||||
|
||||
ggsave("plots/sensorsPosition-delayenergy.png",dpi=80, width=4, height=3.2)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsPosition-delayenergy.png]]
|
||||
|
||||
|
||||
|
||||
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/numberSensors-WIFINET.png :session *R*
|
||||
<<RUtils>>
|
||||
|
||||
data=loadData("logs/ns3/last/data.csv")
|
||||
# Network
|
||||
data=loadData("./logs/ns3/last/data.csv")
|
||||
data=data%>%filter(simKey=="NBSENSORS")
|
||||
dataW=data%>%mutate(energy=sensorsEnergy)%>% mutate(type="Sensors") %>% select(sensorsNumber,energy,type)
|
||||
dataN=data%>%mutate(energy=networkEnergy)%>% mutate(type="Network") %>% select(sensorsNumber,energy,type)
|
||||
dataN5=data%>%filter(sensorsNumber==5)%>% mutate(energy=networkEnergy) %>%select(energy,sensorsNumber)
|
||||
dataN10=data%>%filter(sensorsNumber==10)%>%mutate(energy=networkEnergy) %>%select(energy,sensorsNumber)
|
||||
dataNet=rbind(dataN5,dataN10)
|
||||
fakeNet=tibble(sensorsNumber=c(20,100,300))
|
||||
fakeNet=fakeNet%>%mutate(energy=approx(dataN5,dataN10,sensorsNumber),type="Network")
|
||||
|
||||
data=rbind(dataN,dataW)
|
||||
data=data%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
data=data%>%mutate(sensorsNumber=fct_reorder(sensorsNumber,as.numeric(sensorsNumber)))
|
||||
data=data%>%filter(sensorsNumber%in%c(2,4,6,8,10))
|
||||
# Sensors
|
||||
dataS5=data%>%filter(sensorsNumber==5)%>% mutate(energy=sensorsEnergy) %>%select(energy,sensorsNumber)
|
||||
dataS10=data%>%filter(sensorsNumber==10)%>%mutate(energy=sensorsEnergy) %>%select(energy,sensorsNumber)
|
||||
dataS=rbind(dataS5,dataS10)
|
||||
fakeS=tibble(sensorsNumber=c(20,100,300))
|
||||
fakeS=fakeNet%>%mutate(energy=approx(dataS5,dataS10,sensorsNumber),type="Sensors")
|
||||
|
||||
p=ggplot(data)+geom_bar(aes(x=sensorsNumber,y=energy,fill=type),position="dodge",stat="identity")+
|
||||
xlab(getLabel("sensorsNumber"))+ ylab("Energy Consumption (W)") + guides(fill=guide_legend(title=""))
|
||||
p=applyTheme(p)+theme(text = element_text(size=15))
|
||||
# Combine Net/Sensors/Cloud and order factors
|
||||
fakeData=rbind(fakeNet,fakeS,dataCloud)
|
||||
fakeData=fakeData%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
fakeData=fakeData%>%mutate(sensorsNumber=fct_reorder(sensorsNumber,as.numeric(sensorsNumber)))
|
||||
fakeData$type=factor(fakeData$type,ordered=TRUE,levels=c("Sensors","Network","Cloud"))
|
||||
|
||||
# Plot
|
||||
p=ggplot(fakeData)+geom_bar(position="dodge2",colour="black",aes(x=sensorsNumber,y=energy,fill=type),stat="identity")+
|
||||
xlab("Sensors Number")+ylab("Power Consumption (W)")+guides(fill=guide_legend(title="System Part"))
|
||||
p=applyTheme(p)+theme(text = element_text(size=16))
|
||||
ggsave("plots/final.png",dpi=90,width=8,height=5.5)
|
||||
|
||||
size=5
|
||||
ggsave("plots/numberSensors-WIFINET.png",dpi=90,width=size,height=size-1)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/numberSensors-WIFINET.png]]
|
||||
[[file:plots/final.png]]
|
||||
|
||||
|
||||
Impact of vm size
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :noweb yes :file plots/vmSize-cloud.png
|
||||
<<RUtils>>
|
||||
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="vmSize")%>%filter(time<=300)
|
||||
|
||||
data=data%>%mutate(vmSize=paste0(vmSize," MB"))
|
||||
data=data%>%group_by(vmSize)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~vmSize)+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)+expand_limits(y=c(0,40))+ylab("Server Power Consumption (W)")+
|
||||
xlab("Experiment Time (s)")
|
||||
|
||||
p=applyTheme(p)
|
||||
|
||||
ggsave("plots/vmSize-cloud.png",dpi=90,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/vmSize-cloud.png]]
|
||||
|
||||
|
||||
Impact of sensors number
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsNumber-cloud.png
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")%>%ungroup()
|
||||
|
||||
Final plot: Energy cloud, network and sensors
|
||||
#+BEGIN_SRC R :noweb yes :results output graphics :file plots/final.png
|
||||
<<RUtils>>
|
||||
data=data%>%mutate(nbSensorsSort=nbSensors)
|
||||
data=data%>%mutate(nbSensors=paste0(nbSensors," Sensors"))
|
||||
data$nbSensors=fct_reorder(data$nbSensors, data$nbSensorsSort)
|
||||
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")
|
||||
|
||||
# Cloud
|
||||
data10=data%>%filter(nbSensors==20)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
data100=data%>%filter(nbSensors==100)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
data300=data%>%filter(nbSensors==300)%>%mutate(energy=mean(energy)) %>% slice(1L)
|
||||
dataCloud=rbind(data10,data100,data300)%>%mutate(sensorsNumber=nbSensors)%>%mutate(type="Cloud")%>%select(sensorsNumber,energy,type)
|
||||
|
||||
approx=function(data1, data2,nbSensors){
|
||||
x1=data1$sensorsNumber
|
||||
y1=data1$energy
|
||||
|
||||
x2=data2$sensorsNumber
|
||||
y2=data2$energy
|
||||
|
||||
a=((y2-y1)/(x2-x1))
|
||||
b=y1-a*x1
|
||||
|
||||
return(a*nbSensors+b)
|
||||
|
||||
}
|
||||
|
||||
|
||||
simTime=1800
|
||||
|
||||
# Network
|
||||
data=read_csv("./logs/ns3/last/data.csv")
|
||||
data=data%>%filter(simKey=="NBSENSORS")
|
||||
dataC5=data%>%filter(sensorsNumber==5)%>% mutate(energy=networkEnergy/simTime) %>%select(energy,sensorsNumber)
|
||||
dataC10=data%>%filter(sensorsNumber==10)%>%mutate(energy=networkEnergy/simTime) %>%select(energy,sensorsNumber)
|
||||
dataNet=rbind(dataC5,dataC10)%>%mutate(type="Network")
|
||||
|
||||
# Sensors
|
||||
dataS5=data%>%filter(sensorsNumber==5)%>% mutate(energy=sensorsEnergy/simTime) %>%select(energy,sensorsNumber)
|
||||
dataS10=data%>%filter(sensorsNumber==10)%>%mutate(energy=sensorsEnergy/simTime) %>%select(energy,sensorsNumber)
|
||||
dataS=rbind(dataS5,dataS10)%>%mutate(type="Sensors")
|
||||
|
||||
fakeNetS=tibble(
|
||||
sensorsNumber=c(20,100,300,20,100,300),
|
||||
energy=c(dataC10$energy,approx(dataC5,dataC10,100),approx(dataC5,dataC10,300),dataS10$energy,approx(dataS5,dataS10,100),approx(dataS5,dataS10,300)),
|
||||
type=c("Network","Network","Network","Sensors","Sensors","Sensors")
|
||||
)
|
||||
|
||||
fakeNetS=fakeNetS%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
dataCloud=dataCloud%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
data=rbind(fakeNetS,dataCloud)%>%mutate(sensorsNumber=as.character(sensorsNumber))
|
||||
data=data%>%mutate(sensorsNumber=fct_reorder(sensorsNumber,as.numeric(sensorsNumber)))
|
||||
data$type=factor(data$type,ordered=TRUE,levels=c("Sensors","Network","Cloud"))
|
||||
p=ggplot(data)+geom_bar(position="dodge2",colour="black",aes(x=sensorsNumber,y=energy,fill=type),stat="identity")+
|
||||
xlab("Sensors Number")+ylab("Energy Consumption (W)")+guides(fill=guide_legend(title="System Part"))
|
||||
p=applyTheme(p)+theme(text = element_text(size=16))
|
||||
ggsave("plots/final.png",dpi=90,width=8,height=5.5)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/final.png]]
|
||||
|
||||
|
||||
|
||||
|
||||
Impact of vm size
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :noweb yes :file plots/vmSize-cloud.png
|
||||
<<RUtils>>
|
||||
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="vmSize")%>%filter(time<=300)
|
||||
|
||||
data=data%>%mutate(vmSize=paste0(vmSize," MB"))
|
||||
data=data%>%group_by(vmSize)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~vmSize)+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
|
||||
xlab("Experiment Time (s)")
|
||||
|
||||
p=applyTheme(p)
|
||||
|
||||
ggsave("plots/vmSize-cloud.png",dpi=90,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/vmSize-cloud.png]]
|
||||
|
||||
|
||||
Impact of sensors number
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsNumber-cloud.png
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")%>%ungroup()
|
||||
|
||||
data=data%>%mutate(nbSensorsSort=nbSensors)
|
||||
data=data%>%mutate(nbSensors=paste0(nbSensors," Sensors"))
|
||||
data$nbSensors=fct_reorder(data$nbSensors, data$nbSensorsSort)
|
||||
|
||||
data=data%>%group_by(nbSensors)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~nbSensors)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
|
||||
xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
|
||||
|
||||
p=applyTheme(p)
|
||||
ggsave("plots/sensorsNumber-cloud.png",dpi=90,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsNumber-cloud.png]]
|
||||
data=data%>%group_by(nbSensors)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~nbSensors)+expand_limits(y=c(0,40))+ylab("Server Power Consumption (W)")+
|
||||
xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
|
||||
|
||||
p=applyTheme(p)
|
||||
ggsave("plots/sensorsNumber-cloud.png",dpi=90,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsNumber-cloud.png]]
|
||||
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsNumberLine-cloud.png :session *R:2*
|
||||
<<RUtils>>
|
||||
|
|
@ -788,77 +816,69 @@ Smart cities \cite{Ejaz2017}
|
|||
data=data%>%mutate(WPS=(avgEnergy/nbSensors))
|
||||
|
||||
p=ggplot(data,aes(x=nbSensors, y=avgEnergy)) + geom_point() +geom_line()+
|
||||
xlab(getLabel("sensorsNumber"))+ylab("Average Server Energy (W)")
|
||||
xlab(getLabel("sensorsNumber"))+ylab("Average server power consumption (W)")
|
||||
|
||||
p=applyTheme(p)+theme(text = element_text(size=14))+ expand_limits(y=108)
|
||||
ggsave("plots/sensorsNumberLine-cloud.png",dpi=90,height=4,width=4)
|
||||
#+END_SRC
|
||||
ggsave("plots/sensorsNumberLine-cloud.png",dpi=90,height=4.5,width=4)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsNumberLine-cloud.png]]
|
||||
#+RESULTS:
|
||||
[[file:plots/sensorsNumberLine-cloud.png]]
|
||||
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/WPS-cloud.png :session *R:2*
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")%>%ungroup()
|
||||
|
||||
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/WPS-cloud.png :session *R:2*
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
data=data%>%group_by(nbSensors)%>%mutate(avgEnergy=mean(energy))%>%distinct()%>%ungroup()
|
||||
data=data%>%distinct(nbSensors,.keep_all=TRUE)
|
||||
data=data%>%mutate(WPS=(avgEnergy/nbSensors))
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="nbSensors")%>%ungroup()
|
||||
oldNb=data$nbSensors
|
||||
data=data%>%mutate(nbSensors=as.character(nbSensors))
|
||||
data$nbSensors=fct_reorder(data$nbSensors,oldNb)
|
||||
p=ggplot(data,aes(x=nbSensors, y=WPS)) + geom_bar(stat="identity")+
|
||||
xlab(getLabel("sensorsNumber"))+ylab("Server power cost per sensors (W)")
|
||||
|
||||
p=applyTheme(p)+theme(text = element_text(size=14))+ theme(axis.title.y = element_text(margin = margin(t = 0, r = 8, b = 0, l = 0)))
|
||||
ggsave("plots/WPS-cloud.png",dpi=90,height=4,width=4)
|
||||
#+END_SRC
|
||||
|
||||
data=data%>%group_by(nbSensors)%>%mutate(avgEnergy=mean(energy))%>%distinct()%>%ungroup()
|
||||
data=data%>%distinct(nbSensors,.keep_all=TRUE)
|
||||
data=data%>%mutate(WPS=(avgEnergy/nbSensors))
|
||||
#+RESULTS:
|
||||
[[file:plots/WPS-cloud.png]]
|
||||
|
||||
oldNb=data$nbSensors
|
||||
data=data%>%mutate(nbSensors=as.character(nbSensors))
|
||||
data$nbSensors=fct_reorder(data$nbSensors,oldNb)
|
||||
p=ggplot(data,aes(x=nbSensors, y=WPS)) + geom_bar(stat="identity")+
|
||||
xlab(getLabel("sensorsNumber"))+ylab("Server energy cost per sensors (W)")
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sendInterval-cloud.png
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
p=applyTheme(p)+theme(text = element_text(size=14))+ theme(axis.title.y = element_text(margin = margin(t = 0, r = 8, b = 0, l = 0)))
|
||||
ggsave("plots/WPS-cloud.png",dpi=90,height=4,width=4)
|
||||
#+END_SRC
|
||||
data=data%>%filter(state=="sim",simKey=="sendInterval")%>%ungroup()
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/WPS-cloud.png]]
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
#+BEGIN_SRC R :noweb yes :results graphics :file plots/sendInterval-cloud.png
|
||||
<<RUtils>>
|
||||
# Load data
|
||||
data=loadData("./logs/g5k/last/data.csv")
|
||||
|
||||
data=data%>%filter(state=="sim",simKey=="sendInterval")%>%ungroup()
|
||||
|
||||
oldSendInterval=data$sendInterval
|
||||
data=data%>%mutate(sendInterval=paste0(sendInterval,"s"))
|
||||
data$sendInterval=fct_reorder(data$sendInterval,oldSendInterval)
|
||||
|
||||
data=data%>%group_by(sendInterval)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
print(data)
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~sendInterval)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
|
||||
xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
|
||||
|
||||
p=applyTheme(p)
|
||||
ggsave("plots/sendInterval-cloud.png",dpi=120,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sendInterval-cloud.png]]
|
||||
oldSendInterval=data$sendInterval
|
||||
data=data%>%mutate(sendInterval=paste0(sendInterval,"s"))
|
||||
data$sendInterval=fct_reorder(data$sendInterval,oldSendInterval)
|
||||
|
||||
data=data%>%group_by(sendInterval)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
|
||||
print(data)
|
||||
p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~sendInterval)+expand_limits(y=c(0,40))+ylab("Server power consumption (W)")+
|
||||
xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
|
||||
|
||||
p=applyTheme(p)
|
||||
ggsave("plots/sendInterval-cloud.png",dpi=120,height=3,width=6)
|
||||
#+END_SRC
|
||||
|
||||
#+RESULTS:
|
||||
[[file:plots/sendInterval-cloud.png]]
|
||||
|
||||
|
||||
* Emacs settings :noexport:
|
||||
# Local Variables:
|
||||
# eval: (unless (boundp 'org-latex-classes) (setq org-latex-classes nil))
|
||||
# eval: (add-to-list 'org-latex-classes
|
||||
# '("IEEEtran" "\\documentclass[conference]{IEEEtran}\n \[NO-DEFAULT-PACKAGES]\n \[EXTRA]\n" ("\\section{%s}" . "\\section*{%s}") ("\\subsection{%s}" . "\\subsection*{%s}") ("\\subsubsection{%s}" . "\\subsubsection*{%s}") ("\\paragraph{%s}" . "\\paragraph*{%s}") ("\\subparagraph{%s}" . "\\subparagraph*{%s}")))
|
||||
# '("llncs" "\\documentclass[conference]{llncs}\n \[NO-DEFAULT-PACKAGES]\n \[EXTRA]\n" ("\\section{%s}" . "\\section*{%s}") ("\\subsection{%s}" . "\\subsection*{%s}") ("\\subsubsection{%s}" . "\\subsubsection*{%s}") ("\\paragraph{%s}" . "\\paragraph*{%s}") ("\\subparagraph{%s}" . "\\subparagraph*{%s}")))
|
||||
# End:
|
||||
|
||||
|
||||
BIN
2019-ICA3PP.pdf
Normal file
BIN
2019-ICA3PP.pdf
Normal file
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BIN
2019-Mascots.pdf
BIN
2019-Mascots.pdf
Binary file not shown.
6347
IEEEtran.cls
6347
IEEEtran.cls
File diff suppressed because it is too large
Load diff
BIN
Rplots.pdf
BIN
Rplots.pdf
Binary file not shown.
BIN
final.png
BIN
final.png
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|
Before Width: | Height: | Size: 12 KiB |
986
logs/data.csv
986
logs/data.csv
|
|
@ -1,986 +0,0 @@
|
|||
sensorsSendInterval,sensorsPktSize,sensorsNumber,nbHop,linksBandwidth,linksLatency,totalEnergy,nbPacketCloud,nbNodes,avgDelay,ns3Version,simKey,positionSeed,sensorsEnergy,networkEnergy
|
||||
60,5,20,10,10,2,66465.3,580,30,0.591748,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35431,3.29,SENSORSPOS,5,24332.1,34023
|
||||
100,5,15,10,10,2,58354.6,255,25,0.361198,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35431,3.29,SENDINTERVAL,5,24332.1,34023
|
||||
10,5,20,10,10,2,66466,3580,30,3.36277,3.29,SENSORSPOS,2,32443,34023
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35197,3.29,SENSORSPOS,10,16221.3,34022.9
|
||||
70,5,15,10,10,2,58354.6,375,25,0.530476,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
100,5,10,10,10,2,50244,170,20,0.35825,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36149,3.29,SENSORSPOS,6,32443,34023
|
||||
80,5,20,10,10,2,66465.3,440,30,0.470471,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,7,8110.6,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,SENSORSPOS,8,16221.3,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35214,3.29,SENSORSPOS,3,16221.3,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,SENSORSPOS,1,16221.3,34022.9
|
||||
80,5,5,10,10,2,42133.5,110,15,0.458482,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35482,3.29,SENSORSPOS,10,24332.1,34023
|
||||
30,5,10,10,10,2,50244,590,20,1.14582,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENDINTERVAL,5,8110.6,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,9,8110.6,34022.9
|
||||
70,5,5,10,10,2,42133.5,125,15,0.525334,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35414,3.29,SENSORSPOS,4,24332.1,34023
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35479,3.29,SENSORSPOS,8,24332.1,34023
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35267,3.29,SENSORSPOS,4,16221.3,34022.9
|
||||
10,5,1,10,10,2,35645,179,11,3.34319,3.29,NBSENSORS,5,1622.11,34022.9
|
||||
80,5,15,10,10,2,58354.6,330,25,0.46359,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
10,5,4,10,10,2,40511.4,716,14,3.34588,3.29,NBSENSORS,5,6488.44,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,1,8110.6,34022.9
|
||||
20,5,15,10,10,2,58354.7,1335,25,1.7017,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
60,5,15,10,10,2,58354.6,435,25,0.585288,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
40,5,5,10,10,2,42133.5,220,15,0.861025,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
10,5,8,10,10,2,46999.9,1432,18,3.36006,3.29,NBSENSORS,5,12977,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35439,3.29,SENSORSPOS,7,24332.1,34023
|
||||
40,5,10,10,10,2,50244,440,20,0.8645,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
70,5,10,10,10,2,50244,250,20,0.529365,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
100,5,5,10,10,2,42133.5,85,15,0.356905,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
50,5,5,10,10,2,42133.5,175,15,0.701508,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
60,5,10,10,10,2,50244,290,20,0.585039,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,6,8110.6,34022.9
|
||||
70,5,20,10,10,2,66465.3,500,30,0.538128,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35424,3.29,SENSORSPOS,1,24332.1,34023
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,3,8110.6,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,NBSENSORS,5,16221.3,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35431,3.29,SENSORSPOS,3,24332.1,34023
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35208,3.29,SENSORSPOS,7,16221.3,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36334,3.29,SENSORSPOS,5,32443,34023
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,4,8110.6,34022.9
|
||||
30,5,5,10,10,2,42133.5,295,15,1.14056,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36334,3.29,SENDINTERVAL,5,32443,34023
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,NBSENSORS,5,8110.6,34022.9
|
||||
90,5,5,10,10,2,42133.5,95,15,0.399939,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36258,3.29,SENSORSPOS,1,32443,34023
|
||||
10,5,20,10,10,2,66466,3580,30,3.3623,3.29,SENSORSPOS,10,32443,34023
|
||||
50,5,20,10,10,2,66465.3,700,30,0.714712,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
30,5,20,10,10,2,66465.3,1180,30,1.15317,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,8,8110.6,34022.9
|
||||
10,5,7,10,10,2,45377.8,1253,17,3.34712,3.29,NBSENSORS,5,11354.8,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36257,3.29,SENSORSPOS,8,32443,34023
|
||||
10,5,6,10,10,2,43755.7,1074,16,3.34474,3.29,NBSENSORS,5,9732.72,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35444,3.29,SENSORSPOS,6,24332.1,34023
|
||||
100,5,20,10,10,2,66465.1,340,30,0.366182,3.29,SENDINTERVAL,5,32442.2,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,10,8110.6,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,SENDINTERVAL,5,16221.3,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35431,3.29,SENSORSPOS,9,24332.1,34023
|
||||
40,5,15,10,10,2,58354.7,660,25,0.867591,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
90,5,10,10,10,2,50244,190,20,0.401651,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
20,5,10,10,10,2,50244.1,890,20,1.70086,3.29,SENDINTERVAL,5,16221.2,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,SENSORSPOS,9,16221.3,34022.9
|
||||
30,5,15,10,10,2,58354.7,885,25,1.14605,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
50,5,15,10,10,2,58354.7,525,25,0.707443,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,2,8110.6,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.3632,3.29,SENSORSPOS,4,32443,34023
|
||||
90,5,15,10,10,2,58354.6,285,25,0.402918,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35244,3.29,SENSORSPOS,6,16221.3,34022.9
|
||||
20,5,20,10,10,2,66465.6,1780,30,1.70899,3.29,SENDINTERVAL,5,32442.6,34023
|
||||
80,5,10,10,10,2,50244,220,20,0.461559,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
10,5,15,10,10,2,58355.1,2685,25,3.35449,3.29,SENSORSPOS,2,24332.1,34023
|
||||
10,5,20,10,10,2,66466,3580,30,3.36186,3.29,SENSORSPOS,7,32443,34023
|
||||
60,5,5,10,10,2,42133.5,145,15,0.582833,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
90,5,20,10,10,2,66465.1,380,30,0.408763,3.29,SENDINTERVAL,5,32442.2,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36311,3.29,SENSORSPOS,9,32443,34023
|
||||
10,5,5,10,10,2,42133.5,895,15,3.34757,3.29,SENSORSPOS,5,8110.6,34022.9
|
||||
20,5,5,10,10,2,42133.5,445,15,1.6963,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
40,5,20,10,10,2,66465.3,880,30,0.872766,3.29,SENDINTERVAL,5,32442.4,34022.9
|
||||
10,5,20,10,10,2,66466,3580,30,3.36267,3.29,SENSORSPOS,3,32443,34023
|
||||
10,5,3,10,10,2,38889.2,537,13,3.35175,3.29,NBSENSORS,5,4866.33,34022.9
|
||||
50,5,10,10,10,2,50244,350,20,0.706067,3.29,SENDINTERVAL,5,16221.1,34022.9
|
||||
10,5,9,10,10,2,48622.1,1611,19,3.35182,3.29,NBSENSORS,5,14599.2,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35204,3.29,SENSORSPOS,5,16221.3,34022.9
|
||||
10,5,2,10,10,2,37267.1,358,12,3.34176,3.29,NBSENSORS,5,3244.22,34022.9
|
||||
10,5,10,10,10,2,50244.2,1790,20,3.35251,3.29,SENSORSPOS,2,16221.3,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.32,3.29,SENSORSPOS,10,24337.5,34023.9
|
||||
70,192,9,10,10000,11,48621.9,225,19,2.54726,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
40,192,11,10,10000,11,51866.1,484,21,4.41612,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
40,192,15,10,10000,11,58354.7,660,25,4.42019,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
60,192,9,10,10000,11,48621.9,261,19,2.926,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
20,192,7,10,10000,11,45377.8,623,17,8.88267,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
60,192,5,10,10000,11,42133.5,145,15,2.92529,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
90,192,13,10,10000,11,55110.4,247,23,1.93879,3.29,SENDINTERVAL,5,21087.4,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,SENSORSPOS,8,17846.4,34023.7
|
||||
70,192,5,10,10000,11,42133.5,125,15,2.54461,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
50,192,9,10,10000,11,48621.9,315,19,3.53335,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.314,3.29,SENSORSPOS,2,17846.4,34023.7
|
||||
20,192,5,10,10000,11,42133.5,445,15,8.8852,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,SENSORSPOS,5,17846.4,34023.7
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.314,3.29,SENSORSPOS,3,17846.4,34023.7
|
||||
90,192,15,10,10000,11,58354.6,285,25,1.93848,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
1,192,4,10,10000,11,40512.2,7196,14,178.311,3.29,NBSENSORS,5,6488.92,34023.2
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,8,8111.25,34023.3
|
||||
1,192,14,10,10000,11,56738.4,25186,24,178.322,3.29,NBSENSORS,5,22714.6,34023.8
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,9,8111.25,34023.3
|
||||
30,192,7,10,10000,11,45377.7,413,17,5.90362,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,NBSENSORS,5,17846.4,34023.7
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,9,24337.5,34023.9
|
||||
20,192,13,10,10000,11,55110.6,1157,23,8.88931,3.29,SENDINTERVAL,5,21087.7,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,SENSORSPOS,6,17846.4,34023.7
|
||||
10,192,11,10,10000,11,51866.5,1969,21,17.8076,3.29,SENDINTERVAL,5,17843.5,34023
|
||||
60,192,13,10,10000,11,55110.4,377,23,2.92925,3.29,SENDINTERVAL,5,21087.4,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.316,3.29,NBSENSORS,5,14601.2,34023.5
|
||||
60,192,7,10,10000,11,45377.7,203,17,2.9205,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
60,192,15,10,10000,11,58354.7,435,25,2.92858,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
80,192,7,10,10000,11,45377.7,154,17,2.23268,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
10,192,9,10,10000,11,48622.1,1611,19,17.8109,3.29,SENDINTERVAL,5,14599.2,34022.9
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.317,3.29,SENSORSPOS,5,21091.9,34023.7
|
||||
100,192,11,10,10000,11,51866.1,187,21,1.72967,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.316,3.29,SENSORSPOS,5,14601.2,34023.5
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,1,11356.1,34023.4
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,3,8111.25,34023.3
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,7,8111.25,34023.3
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.316,3.29,SENSORSPOS,9,17846.4,34023.7
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.316,3.29,SENSORSPOS,7,14601.2,34023.5
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,3,14601.2,34023.5
|
||||
50,192,15,10,10000,11,58354.7,525,25,3.53509,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,3,21091.9,34023.7
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,8,24337.5,34023.9
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.317,3.29,SENSORSPOS,1,21091.9,34023.7
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,5,8111.25,34023.3
|
||||
80,192,13,10,10000,11,55110.4,286,23,2.24123,3.29,SENDINTERVAL,5,21087.4,34022.9
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,10,8111.25,34023.3
|
||||
100,192,15,10,10000,11,58354.6,255,25,1.73512,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.32,3.29,NBSENSORS,5,24337.5,34023.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.314,3.29,SENSORSPOS,4,17846.4,34023.7
|
||||
30,192,13,10,10000,11,55110.5,767,23,5.91148,3.29,SENDINTERVAL,5,21087.6,34022.9
|
||||
30,192,11,10,10000,11,51866.2,649,21,5.90819,3.29,SENDINTERVAL,5,17843.3,34022.9
|
||||
20,192,11,10,10000,11,51866.3,979,21,8.88459,3.29,SENDINTERVAL,5,17843.3,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,9,14601.2,34023.5
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,5,11356.1,34023.4
|
||||
80,192,9,10,10000,11,48621.9,198,19,2.23715,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,3,24337.5,34023.9
|
||||
70,192,7,10,10000,11,45377.7,175,17,2.54203,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
1,192,3,10,10000,11,38889.7,5397,13,178.316,3.29,NBSENSORS,5,4866.6,34023.1
|
||||
1,192,2,10,10000,11,37267.4,3598,12,178.306,3.29,NBSENSORS,5,3244.36,34023.1
|
||||
40,192,5,10,10000,11,42133.5,220,15,4.41517,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,6,10,10000,11,43757,10794,16,178.31,3.29,NBSENSORS,5,9733.68,34023.3
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.317,3.29,SENSORSPOS,2,21091.9,34023.7
|
||||
100,192,9,10,10000,11,48621.9,153,19,1.73113,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.314,3.29,SENSORSPOS,10,17846.4,34023.7
|
||||
1,192,8,10,10000,11,47002.1,14392,18,178.324,3.29,NBSENSORS,5,12978.6,34023.5
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,4,8111.25,34023.3
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,7,11356.1,34023.4
|
||||
100,192,5,10,10000,11,42133.5,85,15,1.72994,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,6,8111.25,34023.3
|
||||
80,192,11,10,10000,11,51866.1,242,21,2.23691,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,4,11356.1,34023.4
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,SENSORSPOS,7,17846.4,34023.7
|
||||
30,192,9,10,10000,11,48622,531,19,5.91042,3.29,SENDINTERVAL,5,14599.1,34022.9
|
||||
50,192,13,10,10000,11,55110.5,455,23,3.53395,3.29,SENDINTERVAL,5,21087.6,34022.9
|
||||
30,192,5,10,10000,11,42133.5,295,15,5.90658,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
50,192,5,10,10000,11,42133.5,175,15,3.52862,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,2,14601.2,34023.5
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,4,21091.9,34023.7
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,6,21091.9,34023.7
|
||||
20,192,15,10,10000,11,58354.9,1335,25,8.89027,3.29,SENDINTERVAL,5,24332,34022.9
|
||||
70,192,11,10,10000,11,51866.1,275,21,2.54459,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
80,192,5,10,10000,11,42133.5,110,15,2.2354,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,4,24337.5,34023.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,9,11356.1,34023.4
|
||||
100,192,7,10,10000,11,45377.7,119,17,1.72775,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
40,192,9,10,10000,11,48621.9,396,19,4.41683,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
80,192,15,10,10000,11,58354.6,330,25,2.24177,3.29,SENDINTERVAL,5,24331.7,34022.9
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,1,8111.25,34023.3
|
||||
10,192,13,10,10000,11,55110.8,2327,23,17.8115,3.29,SENDINTERVAL,5,21087.8,34023
|
||||
50,192,11,10,10000,11,51866.1,385,21,3.53003,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,8,11356.1,34023.4
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.32,3.29,SENSORSPOS,5,24337.5,34023.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,4,14601.2,34023.5
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,10,14601.2,34023.5
|
||||
1,192,1,10,10000,11,35645.1,1799,11,178.302,3.29,NBSENSORS,5,1622.16,34022.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,NBSENSORS,5,11356.1,34023.4
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,8,21091.9,34023.7
|
||||
90,192,11,10,10000,11,51866.1,209,21,1.93316,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,2,24337.5,34023.9
|
||||
1,192,12,10,10000,11,53492.7,21588,22,178.323,3.29,NBSENSORS,5,19469,34023.7
|
||||
100,192,13,10,10000,11,55110.4,221,23,1.73604,3.29,SENDINTERVAL,5,21087.4,34022.9
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,6,24337.5,34023.9
|
||||
70,192,13,10,10000,11,55110.4,325,23,2.54803,3.29,SENDINTERVAL,5,21087.4,34022.9
|
||||
90,192,7,10,10000,11,45377.7,133,17,1.92972,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.317,3.29,SENSORSPOS,9,21091.9,34023.7
|
||||
10,192,15,10,10000,11,58355.3,2685,25,17.8136,3.29,SENDINTERVAL,5,24332.3,34023.1
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.317,3.29,NBSENSORS,5,21091.9,34023.7
|
||||
90,192,9,10,10000,11,48621.9,171,19,1.9345,3.29,SENDINTERVAL,5,14599,34022.9
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,NBSENSORS,5,8111.25,34023.3
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,6,11356.1,34023.4
|
||||
70,192,15,10,10000,11,58354.7,375,25,2.55086,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
40,192,7,10,10000,11,45377.7,308,17,4.41222,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
50,192,7,10,10000,11,45377.7,245,17,3.52585,3.29,SENDINTERVAL,5,11354.8,34022.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,3,11356.1,34023.4
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,10,21091.9,34023.7
|
||||
1,192,11,10,10000,11,51870.1,19789,21,178.315,3.29,SENSORSPOS,1,17846.4,34023.7
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.316,3.29,SENSORSPOS,6,14601.2,34023.5
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,1,24337.5,34023.9
|
||||
20,192,9,10,10000,11,48622,801,19,8.88829,3.29,SENDINTERVAL,5,14599.1,34022.9
|
||||
10,192,5,10,10000,11,42133.5,895,15,17.8062,3.29,SENDINTERVAL,5,8110.6,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,1,14601.2,34023.5
|
||||
40,192,13,10,10000,11,55110.5,572,23,4.42054,3.29,SENDINTERVAL,5,21087.6,34022.9
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,10,11356.1,34023.4
|
||||
1,192,7,10,10000,11,45379.5,12593,17,178.309,3.29,SENSORSPOS,2,11356.1,34023.4
|
||||
1,192,5,10,10000,11,42134.5,8995,15,178.312,3.29,SENSORSPOS,2,8111.25,34023.3
|
||||
10,192,7,10,10000,11,45377.8,1253,17,17.8058,3.29,SENDINTERVAL,5,11354.9,34022.9
|
||||
90,192,5,10,10000,11,42133.5,95,15,1.93453,3.29,SENDINTERVAL,5,8110.55,34022.9
|
||||
1,192,13,10,10000,11,55115.6,23387,23,178.318,3.29,SENSORSPOS,7,21091.9,34023.7
|
||||
1,192,15,10,10000,11,58361.4,26985,25,178.319,3.29,SENSORSPOS,7,24337.5,34023.9
|
||||
30,192,15,10,10000,11,58354.7,885,25,5.91265,3.29,SENDINTERVAL,5,24331.8,34022.9
|
||||
1,192,9,10,10000,11,48624.7,16191,19,178.315,3.29,SENSORSPOS,8,14601.2,34023.5
|
||||
1,192,10,10,10000,11,50247.3,17990,20,178.319,3.29,NBSENSORS,5,16223.7,34023.6
|
||||
60,192,11,10,10000,11,51866.1,319,21,2.92373,3.29,SENDINTERVAL,5,17843.2,34022.9
|
||||
10,5,5,4,10,2,684.039,30,9,0.0441026,3.29,NBHOP
|
||||
10,5,1,10,10,4,1188.08,6,11,0.218504,3.29,LATENCY
|
||||
10,5,12,8,10,2,1541.81,72,20,0.0990603,3.29,NBHOP
|
||||
10,5,10,5,10,2,1074.44,60,15,0.0610499,3.29,NBHOP
|
||||
10,5,3,10,10,1,1296.13,18,13,0.0643722,3.29,LATENCY
|
||||
10,5,10,10,50,2,1674.32,60,20,0.121688,3.29,BW
|
||||
10,5,10,10,10,8,1674.32,60,20,0.446898,3.29,LATENCY
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,NBHOP
|
||||
10,5,4,2,10,2,390.03,24,6,0.0210262,3.29,NBHOP
|
||||
10,5,6,10,10,5,1458.21,36,16,0.281644,3.29,LATENCY
|
||||
10,5,14,4,10,2,1170.08,84,18,0.0516451,3.29,NBHOP
|
||||
10,5,4,10,10,5,1350.16,24,14,0.280468,3.29,LATENCY
|
||||
10,5,8,10,10,7,1566.27,48,18,0.389686,3.29,LATENCY
|
||||
10,5,12,6,10,2,1301.92,72,18,0.0753212,3.29,NBHOP
|
||||
10,5,12,3,10,2,942.445,72,15,0.0369372,3.29,NBHOP
|
||||
10,5,14,6,10,2,1409.91,84,20,0.0770229,3.29,NBHOP
|
||||
10,5,3,8,10,2,1055.95,18,11,0.0919907,3.29,NBHOP
|
||||
10,5,14,10,10,1,1890.44,84,24,0.0720317,3.29,LATENCY
|
||||
10,5,11,10,10,1,1728.35,66,21,0.0686554,3.29,LATENCY
|
||||
10,5,11,10,10,9,1728.35,66,21,0.500655,3.29,LATENCY
|
||||
10,5,1,10,10,1,1188.08,6,11,0.0565039,3.29,LATENCY
|
||||
10,5,13,10,10,5,1836.41,78,23,0.285283,3.29,LATENCY
|
||||
10,5,3,1,10,2,215.981,0,4,0,3.29,NBHOP
|
||||
10,5,4,9,10,2,1230.05,24,13,0.105932,3.29,NBHOP
|
||||
10,5,6,10,10,7,1458.21,36,16,0.389644,3.29,LATENCY
|
||||
10,5,6,10,30,2,1458.21,36,16,0.118636,3.29,BW
|
||||
10,5,11,10,10,5,1728.35,66,21,0.284655,3.29,LATENCY
|
||||
10,5,8,1,10,2,485.927,0,9,0,3.29,NBHOP
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,LATENCY
|
||||
10,5,2,10,10,10,1242.1,12,12,0.549517,3.29,LATENCY
|
||||
10,5,10,10,30,2,1674.32,60,20,0.12189,3.29,BW
|
||||
10,5,9,10,50,2,1620.29,54,19,0.119964,3.29,BW
|
||||
10,5,9,5,10,2,1020.4,54,14,0.0605286,3.29,NBHOP
|
||||
10,5,3,6,10,2,815.987,18,9,0.0695587,3.29,NBHOP
|
||||
10,5,6,10,50,2,1458.21,36,16,0.118434,3.29,BW
|
||||
10,5,10,10,10,7,1674.32,60,20,0.392898,3.29,LATENCY
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,BW
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,NBSENSORS
|
||||
10,5,14,3,10,2,1050.52,84,17,0.0408313,3.29,NBHOP
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,NBHOP
|
||||
10,5,8,10,50,2,1566.27,48,18,0.118476,3.29,BW
|
||||
10,5,4,10,10,3,1350.16,24,14,0.172468,3.29,LATENCY
|
||||
10,5,10,1,10,2,593.906,0,11,0,3.29,NBHOP
|
||||
10,5,15,2,10,2,984.068,90,17,0.030147,3.29,NBHOP
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,LATENCY
|
||||
10,5,6,10,10,4,1458.21,36,16,0.227644,3.29,LATENCY
|
||||
10,5,8,10,10,8,1566.27,48,18,0.443686,3.29,LATENCY
|
||||
10,5,13,10,10,9,1836.41,78,23,0.501283,3.29,LATENCY
|
||||
10,5,15,6,10,2,1463.9,90,21,0.0789799,3.29,NBHOP
|
||||
10,5,1,10,10,8,1188.08,6,11,0.434504,3.29,LATENCY
|
||||
10,5,4,5,10,2,750.211,24,9,0.0577648,3.29,NBHOP
|
||||
10,5,2,10,10,5,1242.1,12,12,0.279517,3.29,LATENCY
|
||||
10,5,15,10,10,8,1944.47,90,25,0.450884,3.29,LATENCY
|
||||
10,5,3,10,50,2,1296.13,18,13,0.117162,3.29,BW
|
||||
10,5,12,10,10,5,1782.38,72,22,0.284763,3.29,LATENCY
|
||||
10,5,12,9,10,2,1662.12,72,21,0.111567,3.29,NBHOP
|
||||
10,5,11,1,10,2,647.896,0,12,0,3.29,NBHOP
|
||||
10,5,3,3,10,2,456.149,18,6,0.0317123,3.29,NBHOP
|
||||
10,5,2,8,10,2,1001.97,12,10,0.0915105,3.29,NBHOP
|
||||
10,5,9,10,10,5,1620.29,54,19,0.283174,3.29,LATENCY
|
||||
10,5,5,10,10,7,1404.18,30,15,0.390484,3.29,LATENCY
|
||||
10,5,5,10,10,3,1404.18,30,15,0.174484,3.29,LATENCY
|
||||
10,5,3,10,10,10,1296.13,18,13,0.550372,3.29,LATENCY
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,LATENCY
|
||||
10,5,1,1,10,2,108.004,0,2,0,3.29,NBHOP
|
||||
10,5,8,10,10,6,1566.27,48,18,0.335686,3.29,LATENCY
|
||||
10,5,6,10,10,9,1458.21,36,16,0.497644,3.29,LATENCY
|
||||
10,5,8,4,10,2,846.051,48,12,0.0468565,3.29,NBHOP
|
||||
10,5,6,6,10,2,977.962,36,12,0.0692437,3.29,NBHOP
|
||||
10,5,1,3,10,2,348.087,6,4,0.026229,3.29,NBHOP
|
||||
10,5,6,10,70,2,1458.21,36,16,0.118348,3.29,BW
|
||||
10,5,3,10,10,8,1296.13,18,13,0.442372,3.29,LATENCY
|
||||
10,5,9,10,10,7,1620.29,54,19,0.391174,3.29,LATENCY
|
||||
10,5,3,10,10,6,1296.13,18,13,0.334372,3.29,LATENCY
|
||||
10,5,6,10,10,3,1458.21,36,16,0.173644,3.29,LATENCY
|
||||
10,5,5,1,10,2,323.959,0,6,0,3.29,NBHOP
|
||||
10,5,6,8,10,2,1217.9,36,14,0.093869,3.29,NBHOP
|
||||
10,5,4,10,10,8,1350.16,24,14,0.442468,3.29,LATENCY
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,NBHOP
|
||||
10,5,2,10,10,9,1242.1,12,12,0.495517,3.29,LATENCY
|
||||
10,5,14,10,10,5,1890.44,84,24,0.288032,3.29,LATENCY
|
||||
10,5,4,7,10,2,990.372,24,11,0.0806572,3.29,NBHOP
|
||||
10,5,14,5,10,2,1290.6,84,19,0.0646285,3.29,NBHOP
|
||||
10,5,13,10,70,2,1836.41,78,23,0.121987,3.29,BW
|
||||
10,5,14,10,10,9,1890.44,84,24,0.504032,3.29,LATENCY
|
||||
10,5,10,10,10,4,1674.32,60,20,0.230898,3.29,LATENCY
|
||||
10,5,14,10,10,10,1890.44,84,24,0.558032,3.29,LATENCY
|
||||
10,5,13,10,10,10,1836.41,78,23,0.555283,3.29,LATENCY
|
||||
10,5,2,10,10,7,1242.1,12,12,0.387517,3.29,LATENCY
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,NBHOP
|
||||
10,5,2,10,30,2,1242.1,12,12,0.11651,3.29,BW
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,LATENCY
|
||||
10,5,13,3,10,2,996.481,78,16,0.0386852,3.29,NBHOP
|
||||
10,5,10,4,10,2,954.061,60,14,0.0477382,3.29,NBHOP
|
||||
10,5,7,10,70,2,1512.24,42,17,0.118248,3.29,BW
|
||||
10,5,5,3,10,2,564.212,30,8,0.0334324,3.29,NBHOP
|
||||
10,5,3,7,10,2,936.302,18,10,0.0814983,3.29,NBHOP
|
||||
10,5,1,10,10,5,1188.08,6,11,0.272504,3.29,LATENCY
|
||||
10,5,10,10,10,1,1674.32,60,20,0.0688975,3.29,LATENCY
|
||||
10,5,13,10,50,2,1836.41,78,23,0.122073,3.29,BW
|
||||
10,5,11,10,10,10,1728.35,66,21,0.554655,3.29,LATENCY
|
||||
10,5,8,10,10,9,1566.27,48,18,0.497686,3.29,LATENCY
|
||||
10,5,15,10,10,3,1944.47,90,25,0.180884,3.29,LATENCY
|
||||
10,5,2,3,10,2,402.118,12,5,0.0315625,3.29,NBHOP
|
||||
10,5,4,1,10,2,269.97,0,5,0,3.29,NBHOP
|
||||
10,5,7,10,10,8,1512.24,42,17,0.443544,3.29,LATENCY
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,NBHOP
|
||||
10,5,15,10,10,1,1944.47,90,25,0.0728842,3.29,LATENCY
|
||||
10,5,10,9,10,2,1554.1,60,19,0.111113,3.29,NBHOP
|
||||
10,5,1,10,70,2,1188.08,6,11,0.109208,3.29,BW
|
||||
10,5,1,10,10,10,1188.08,6,11,0.542504,3.29,LATENCY
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,LATENCY
|
||||
10,5,2,10,10,4,1242.1,12,12,0.225517,3.29,LATENCY
|
||||
10,5,15,9,10,2,1824.14,90,24,0.11431,3.29,NBHOP
|
||||
10,5,11,4,10,2,1008.07,66,15,0.0502385,3.29,NBHOP
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,BW
|
||||
10,5,5,10,10,8,1404.18,30,15,0.444484,3.29,LATENCY
|
||||
10,5,8,3,10,2,726.31,48,11,0.0361296,3.29,NBHOP
|
||||
10,5,10,3,10,2,834.377,60,13,0.0359287,3.29,NBHOP
|
||||
10,5,11,10,10,4,1728.35,66,21,0.230655,3.29,LATENCY
|
||||
10,5,4,10,10,7,1350.16,24,14,0.388468,3.29,LATENCY
|
||||
10,5,12,5,10,2,1182.52,72,17,0.0615217,3.29,NBHOP
|
||||
10,5,9,9,10,2,1500.09,54,18,0.109942,3.29,NBHOP
|
||||
10,5,1,10,30,2,1188.08,6,11,0.109496,3.29,BW
|
||||
10,5,7,10,10,1,1512.24,42,17,0.065544,3.29,LATENCY
|
||||
10,5,11,10,10,6,1728.35,66,21,0.338655,3.29,LATENCY
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,BW
|
||||
10,5,11,8,10,2,1487.82,66,19,0.0984001,3.29,NBHOP
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,BW
|
||||
10,5,6,10,90,2,1458.21,36,16,0.1183,3.29,BW
|
||||
10,5,5,10,10,1,1404.18,30,15,0.0664843,3.29,LATENCY
|
||||
10,5,12,10,10,7,1782.38,72,22,0.392763,3.29,LATENCY
|
||||
10,5,15,10,50,2,1944.47,90,25,0.125674,3.29,BW
|
||||
10,5,2,10,90,2,1242.1,12,12,0.116173,3.29,BW
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,NBSENSORS
|
||||
10,5,9,6,10,2,1139.94,54,15,0.0732161,3.29,NBHOP
|
||||
10,5,1,10,50,2,1188.08,6,11,0.109294,3.29,BW
|
||||
10,5,9,10,70,2,1620.29,54,19,0.119878,3.29,BW
|
||||
10,5,6,1,10,2,377.948,0,7,0,3.29,NBHOP
|
||||
10,5,12,10,10,1,1782.38,72,22,0.0687625,3.29,LATENCY
|
||||
10,5,13,1,10,2,755.876,0,14,0,3.29,NBHOP
|
||||
10,5,14,10,50,2,1890.44,84,24,0.124822,3.29,BW
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,NBHOP
|
||||
10,5,13,10,10,7,1836.41,78,23,0.393283,3.29,LATENCY
|
||||
10,5,6,10,10,8,1458.21,36,16,0.443644,3.29,LATENCY
|
||||
10,5,13,10,10,8,1836.41,78,23,0.447283,3.29,LATENCY
|
||||
10,5,5,6,10,2,923.97,30,11,0.068991,3.29,NBHOP
|
||||
10,5,4,6,10,2,869.978,24,10,0.0702622,3.29,NBHOP
|
||||
10,5,11,7,10,2,1368.87,66,18,0.0867735,3.29,NBHOP
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,BW
|
||||
10,5,11,10,10,8,1728.35,66,21,0.446655,3.29,LATENCY
|
||||
10,5,12,10,10,6,1782.38,72,22,0.338763,3.29,LATENCY
|
||||
10,5,15,10,10,5,1944.47,90,25,0.288884,3.29,LATENCY
|
||||
10,5,9,4,10,2,900.056,54,13,0.0477678,3.29,NBHOP
|
||||
10,5,7,1,10,2,431.937,0,8,0,3.29,NBHOP
|
||||
10,5,6,7,10,2,1098.51,36,13,0.0812177,3.29,NBHOP
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,NBHOP
|
||||
10,5,7,4,10,2,792.047,42,11,0.0471126,3.29,NBHOP
|
||||
10,5,11,3,10,2,888.412,66,14,0.0379922,3.29,NBHOP
|
||||
10,5,4,10,10,10,1350.16,24,14,0.550468,3.29,LATENCY
|
||||
10,5,10,10,10,9,1674.32,60,20,0.500898,3.29,LATENCY
|
||||
10,5,5,7,10,2,1044.44,30,12,0.0806844,3.29,NBHOP
|
||||
10,5,12,10,30,2,1782.38,72,22,0.121755,3.29,BW
|
||||
10,5,5,5,10,2,804.249,30,10,0.056026,3.29,NBHOP
|
||||
10,5,3,10,90,2,1296.13,18,13,0.117028,3.29,BW
|
||||
10,5,8,10,10,10,1566.27,48,18,0.551686,3.29,LATENCY
|
||||
10,5,6,10,10,10,1458.21,36,16,0.551644,3.29,LATENCY
|
||||
10,5,14,8,10,2,1649.78,84,22,0.101877,3.29,NBHOP
|
||||
10,5,14,10,90,2,1890.44,84,24,0.124688,3.29,BW
|
||||
10,5,7,10,10,9,1512.24,42,17,0.497544,3.29,LATENCY
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,NBHOP
|
||||
10,5,4,10,10,6,1350.16,24,14,0.334468,3.29,LATENCY
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,LATENCY
|
||||
10,5,9,10,10,4,1620.29,54,19,0.229174,3.29,LATENCY
|
||||
10,5,11,9,10,2,1608.11,66,20,0.110984,3.29,NBHOP
|
||||
10,5,11,10,50,2,1728.35,66,21,0.121445,3.29,BW
|
||||
10,5,13,10,10,1,1836.41,78,23,0.0692831,3.29,LATENCY
|
||||
10,5,1,4,10,2,468.029,6,5,0.04246,3.29,NBHOP
|
||||
10,5,10,10,70,2,1674.32,60,20,0.121602,3.29,BW
|
||||
10,5,12,10,70,2,1782.38,72,22,0.121467,3.29,BW
|
||||
10,5,7,10,10,7,1512.24,42,17,0.389544,3.29,LATENCY
|
||||
10,5,13,10,10,4,1836.41,78,23,0.231283,3.29,LATENCY
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,BW
|
||||
10,5,12,10,90,2,1782.38,72,22,0.121419,3.29,BW
|
||||
10,5,8,10,10,5,1566.27,48,18,0.281686,3.29,LATENCY
|
||||
10,5,7,10,10,6,1512.24,42,17,0.335544,3.29,LATENCY
|
||||
10,5,11,6,10,2,1247.93,66,17,0.0749006,3.29,NBHOP
|
||||
10,5,12,10,50,2,1782.38,72,22,0.121553,3.29,BW
|
||||
10,5,9,1,10,2,539.916,0,10,0,3.29,NBHOP
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,LATENCY
|
||||
10,5,15,7,10,2,1585.16,90,22,0.0899177,3.29,NBHOP
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,NBSENSORS
|
||||
10,5,15,10,10,10,1944.47,90,25,0.558884,3.29,LATENCY
|
||||
10,5,4,3,10,2,510.181,24,7,0.03217,3.29,NBHOP
|
||||
10,5,13,10,30,2,1836.41,78,23,0.122275,3.29,BW
|
||||
10,5,6,10,10,6,1458.21,36,16,0.335644,3.29,LATENCY
|
||||
10,5,7,10,10,4,1512.24,42,17,0.227544,3.29,LATENCY
|
||||
10,5,15,10,10,6,1944.47,90,25,0.342884,3.29,LATENCY
|
||||
10,5,13,10,90,2,1836.41,78,23,0.121939,3.29,BW
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,NBHOP
|
||||
10,5,7,7,10,2,1152.58,42,14,0.0835217,3.29,NBHOP
|
||||
10,5,12,10,10,4,1782.38,72,22,0.230763,3.29,LATENCY
|
||||
10,5,14,7,10,2,1531.09,84,21,0.090289,3.29,NBHOP
|
||||
10,5,14,10,70,2,1890.44,84,24,0.124736,3.29,BW
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,BW
|
||||
10,5,8,10,10,3,1566.27,48,18,0.173686,3.29,LATENCY
|
||||
10,5,15,10,30,2,1944.47,90,25,0.125876,3.29,BW
|
||||
10,5,14,2,10,2,930.063,84,16,0.0284299,3.29,NBHOP
|
||||
10,5,7,10,30,2,1512.24,42,17,0.118536,3.29,BW
|
||||
10,5,10,10,10,3,1674.32,60,20,0.176898,3.29,LATENCY
|
||||
10,5,2,2,10,2,282.028,12,4,0.019416,3.29,NBHOP
|
||||
10,5,3,10,10,9,1296.13,18,13,0.496372,3.29,LATENCY
|
||||
10,5,8,10,10,1,1566.27,48,18,0.0656858,3.29,LATENCY
|
||||
10,5,2,9,10,2,1122.04,12,11,0.104295,3.29,NBHOP
|
||||
10,5,2,4,10,2,522.032,12,6,0.045181,3.29,NBHOP
|
||||
10,5,4,10,30,2,1350.16,24,14,0.11746,3.29,BW
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,NBSENSORS
|
||||
10,5,12,7,10,2,1422.94,72,19,0.0862663,3.29,NBHOP
|
||||
10,5,2,7,10,2,882.233,12,9,0.0803245,3.29,NBHOP
|
||||
10,5,14,10,10,6,1890.44,84,24,0.342032,3.29,LATENCY
|
||||
10,5,14,10,10,3,1890.44,84,24,0.180032,3.29,LATENCY
|
||||
10,5,6,10,10,1,1458.21,36,16,0.0656441,3.29,LATENCY
|
||||
10,5,12,4,10,2,1062.07,72,16,0.0491456,3.29,NBHOP
|
||||
10,5,13,4,10,2,1116.08,78,17,0.0508868,3.29,NBHOP
|
||||
10,5,9,10,10,10,1620.29,54,19,0.553174,3.29,LATENCY
|
||||
10,5,15,1,10,2,863.855,0,16,0,3.29,NBHOP
|
||||
10,5,1,10,10,6,1188.08,6,11,0.326504,3.29,LATENCY
|
||||
10,5,4,10,70,2,1350.16,24,14,0.117172,3.29,BW
|
||||
10,5,12,1,10,2,701.886,0,13,0,3.29,NBHOP
|
||||
10,5,12,10,10,3,1782.38,72,22,0.176763,3.29,LATENCY
|
||||
10,5,6,3,10,2,618.245,36,9,0.0334377,3.29,NBHOP
|
||||
10,5,10,10,10,6,1674.32,60,20,0.338898,3.29,LATENCY
|
||||
10,5,9,10,10,3,1620.29,54,19,0.175174,3.29,LATENCY
|
||||
10,5,2,5,10,2,642.136,12,7,0.055376,3.29,NBHOP
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,BW
|
||||
10,5,4,10,10,1,1350.16,24,14,0.0644679,3.29,LATENCY
|
||||
10,5,2,10,70,2,1242.1,12,12,0.116222,3.29,BW
|
||||
10,5,8,5,10,2,966.364,48,13,0.0590559,3.29,NBHOP
|
||||
10,5,12,10,10,8,1782.38,72,22,0.446763,3.29,LATENCY
|
||||
10,5,1,10,10,3,1188.08,6,11,0.164504,3.29,LATENCY
|
||||
10,5,4,8,10,2,1109.94,24,12,0.094549,3.29,NBHOP
|
||||
10,5,15,8,10,2,1703.76,90,23,0.100124,3.29,NBHOP
|
||||
10,5,11,10,30,2,1728.35,66,21,0.121647,3.29,BW
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,NBSENSORS
|
||||
10,5,2,10,10,8,1242.1,12,12,0.441518,3.29,LATENCY
|
||||
10,5,13,8,10,2,1595.79,78,21,0.0999088,3.29,NBHOP
|
||||
10,5,2,10,50,2,1242.1,12,12,0.116307,3.29,BW
|
||||
10,5,1,7,10,2,828.163,6,8,0.082982,3.29,NBHOP
|
||||
10,5,13,6,10,2,1355.91,78,19,0.0751484,3.29,NBHOP
|
||||
10,5,8,6,10,2,1085.95,48,14,0.071326,3.29,NBHOP
|
||||
10,5,7,10,50,2,1512.24,42,17,0.118334,3.29,BW
|
||||
10,5,3,4,10,2,576.034,18,7,0.043352,3.29,NBHOP
|
||||
10,5,2,10,10,1,1242.1,12,12,0.0635174,3.29,LATENCY
|
||||
10,5,3,10,30,2,1296.13,18,13,0.117364,3.29,BW
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,NBHOP
|
||||
10,5,5,10,70,2,1404.18,30,15,0.119188,3.29,BW
|
||||
10,5,2,10,10,6,1242.1,12,12,0.333518,3.29,LATENCY
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,LATENCY
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,BW
|
||||
10,5,11,10,10,7,1728.35,66,21,0.392655,3.29,LATENCY
|
||||
10,5,7,2,10,2,552.036,42,9,0.0218391,3.29,NBHOP
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,LATENCY
|
||||
10,5,8,10,70,2,1566.27,48,18,0.11839,3.29,BW
|
||||
10,5,7,10,10,5,1512.24,42,17,0.281544,3.29,LATENCY
|
||||
10,5,4,10,10,9,1350.16,24,14,0.496468,3.29,LATENCY
|
||||
10,5,15,4,10,2,1224.09,90,19,0.0531475,3.29,NBHOP
|
||||
10,5,15,10,90,2,1944.47,90,25,0.12554,3.29,BW
|
||||
10,5,15,10,10,9,1944.47,90,25,0.504884,3.29,LATENCY
|
||||
10,5,2,1,10,2,161.992,0,3,0,3.29,NBHOP
|
||||
10,5,11,10,90,2,1728.35,66,21,0.121311,3.29,BW
|
||||
10,5,10,8,10,2,1433.84,60,18,0.097937,3.29,NBHOP
|
||||
10,5,6,2,10,2,498.033,36,8,0.0211543,3.29,NBHOP
|
||||
10,5,8,2,10,2,606.039,48,10,0.0233409,3.29,NBHOP
|
||||
10,5,11,2,10,2,768.049,66,13,0.0253035,3.29,NBHOP
|
||||
10,5,3,10,10,5,1296.13,18,13,0.280372,3.29,LATENCY
|
||||
10,5,3,2,10,2,336.029,18,5,0.0229953,3.29,NBHOP
|
||||
10,5,5,9,10,2,1284.06,30,14,0.107476,3.29,NBHOP
|
||||
10,5,2,10,10,3,1242.1,12,12,0.171517,3.29,LATENCY
|
||||
10,5,1,2,10,2,228.027,6,3,0.017115,3.29,NBHOP
|
||||
10,5,12,10,10,10,1782.38,72,22,0.554763,3.29,LATENCY
|
||||
10,5,13,2,10,2,876.058,78,15,0.0264602,3.29,NBHOP
|
||||
10,5,2,6,10,2,761.997,12,8,0.068391,3.29,NBHOP
|
||||
10,5,10,7,10,2,1314.8,60,17,0.0847696,3.29,NBHOP
|
||||
10,5,15,10,70,2,1944.47,90,25,0.125588,3.29,BW
|
||||
10,5,13,9,10,2,1716.12,78,22,0.110708,3.29,NBHOP
|
||||
10,5,13,5,10,2,1236.56,78,18,0.0634254,3.29,NBHOP
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,BW
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,BW
|
||||
10,5,15,5,10,2,1344.65,90,20,0.0657167,3.29,NBHOP
|
||||
10,5,12,10,10,9,1782.38,72,22,0.500763,3.29,LATENCY
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,BW
|
||||
10,5,9,10,10,1,1620.29,54,19,0.0671741,3.29,LATENCY
|
||||
10,5,5,8,10,2,1163.92,30,13,0.0942834,3.29,NBHOP
|
||||
10,5,9,10,90,2,1620.29,54,19,0.11983,3.29,BW
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,LATENCY
|
||||
10,5,14,9,10,2,1770.13,84,23,0.114168,3.29,NBHOP
|
||||
10,5,1,6,10,2,708.007,6,7,0.070751,3.29,NBHOP
|
||||
10,5,1,9,10,2,1068.04,6,10,0.102327,3.29,NBHOP
|
||||
10,5,4,10,10,4,1350.16,24,14,0.226468,3.29,LATENCY
|
||||
10,5,9,3,10,2,780.344,54,12,0.034807,3.29,NBHOP
|
||||
10,5,14,10,10,4,1890.44,84,24,0.234032,3.29,LATENCY
|
||||
10,5,4,4,10,2,630.037,24,8,0.04541,3.29,NBHOP
|
||||
10,5,15,10,10,4,1944.47,90,25,0.234884,3.29,LATENCY
|
||||
10,5,5,10,30,2,1404.18,30,15,0.119476,3.29,BW
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,NBHOP
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,LATENCY
|
||||
10,5,13,10,10,6,1836.41,78,23,0.339283,3.29,LATENCY
|
||||
10,5,11,5,10,2,1128.48,66,16,0.0627003,3.29,NBHOP
|
||||
10,5,1,10,90,2,1188.08,6,11,0.10916,3.29,BW
|
||||
10,5,5,10,10,6,1404.18,30,15,0.336484,3.29,LATENCY
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,NBHOP
|
||||
10,5,15,10,10,7,1944.47,90,25,0.396884,3.29,LATENCY
|
||||
10,5,6,5,10,2,858.287,36,11,0.056738,3.29,NBHOP
|
||||
10,5,5,10,10,10,1404.18,30,15,0.552484,3.29,LATENCY
|
||||
10,5,6,9,10,2,1338.07,36,15,0.106302,3.29,NBHOP
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,BW
|
||||
10,5,3,9,10,2,1176.05,18,12,0.104621,3.29,NBHOP
|
||||
10,5,9,10,10,6,1620.29,54,19,0.337174,3.29,LATENCY
|
||||
10,5,3,10,10,4,1296.13,18,13,0.226372,3.29,LATENCY
|
||||
10,5,3,10,10,7,1296.13,18,13,0.388372,3.29,LATENCY
|
||||
10,5,5,10,10,5,1404.18,30,15,0.282484,3.29,LATENCY
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,BW
|
||||
10,5,12,2,10,2,822.053,72,14,0.0254289,3.29,NBHOP
|
||||
10,5,5,10,10,4,1404.18,30,15,0.228484,3.29,LATENCY
|
||||
10,5,14,1,10,2,809.865,0,15,0,3.29,NBHOP
|
||||
10,5,10,2,10,2,714.045,60,12,0.0236707,3.29,NBHOP
|
||||
10,5,1,10,10,7,1188.08,6,11,0.380504,3.29,LATENCY
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,LATENCY
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,LATENCY
|
||||
10,5,1,10,10,9,1188.08,6,11,0.488504,3.29,LATENCY
|
||||
10,5,10,10,90,2,1674.32,60,20,0.121554,3.29,BW
|
||||
10,5,9,2,10,2,660.041,54,11,0.0225149,3.29,NBHOP
|
||||
10,5,3,10,70,2,1296.13,18,13,0.117076,3.29,BW
|
||||
10,5,9,10,30,2,1620.29,54,19,0.120166,3.29,BW
|
||||
10,5,10,10,10,10,1674.32,60,20,0.554898,3.29,LATENCY
|
||||
10,5,14,10,30,2,1890.44,84,24,0.125024,3.29,BW
|
||||
10,5,9,10,10,8,1620.29,54,19,0.445174,3.29,LATENCY
|
||||
10,5,8,10,10,4,1566.27,48,18,0.227686,3.29,LATENCY
|
||||
10,5,15,3,10,2,1104.55,90,18,0.0404363,3.29,NBHOP
|
||||
10,5,10,6,10,2,1193.93,60,16,0.0726894,3.29,NBHOP
|
||||
10,5,4,10,50,2,1350.16,24,14,0.117258,3.29,BW
|
||||
10,5,9,7,10,2,1260.73,54,16,0.0857653,3.29,NBHOP
|
||||
10,5,8,10,90,2,1566.27,48,18,0.118342,3.29,BW
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,LATENCY
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,NBHOP
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,NBHOP
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,BW
|
||||
10,5,7,10,10,10,1512.24,42,17,0.551544,3.29,LATENCY
|
||||
10,5,8,7,10,2,1206.65,48,15,0.0822275,3.29,NBHOP
|
||||
10,5,7,8,10,2,1271.89,42,15,0.0957549,3.29,NBHOP
|
||||
10,5,5,10,50,2,1404.18,30,15,0.119274,3.29,BW
|
||||
10,5,9,8,10,2,1379.85,54,17,0.0962989,3.29,NBHOP
|
||||
10,5,5,10,90,2,1404.18,30,15,0.11914,3.29,BW
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,NBHOP
|
||||
10,5,8,8,10,2,1325.87,48,16,0.0955481,3.29,NBHOP
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,LATENCY
|
||||
10,5,5,10,10,9,1404.18,30,15,0.498484,3.29,LATENCY
|
||||
10,5,13,10,10,3,1836.41,78,23,0.177283,3.29,LATENCY
|
||||
10,5,8,10,30,2,1566.27,48,18,0.118678,3.29,BW
|
||||
10,5,4,10,90,2,1350.16,24,14,0.117124,3.29,BW
|
||||
10,5,7,9,10,2,1392.07,42,16,0.108944,3.29,NBHOP
|
||||
10,5,3,10,10,3,1296.13,18,13,0.172372,3.29,LATENCY
|
||||
10,5,7,5,10,2,912.325,42,12,0.0595301,3.29,NBHOP
|
||||
10,5,7,3,10,2,672.278,42,10,0.0346726,3.29,NBHOP
|
||||
10,5,10,10,10,5,1674.32,60,20,0.284898,3.29,LATENCY
|
||||
10,5,14,10,10,8,1890.44,84,24,0.450032,3.29,LATENCY
|
||||
10,5,1,8,10,2,947.989,6,9,0.088168,3.29,NBHOP
|
||||
10,5,11,10,10,3,1728.35,66,21,0.176655,3.29,LATENCY
|
||||
10,5,1,5,10,2,588.099,6,6,0.049619,3.29,NBHOP
|
||||
10,5,13,7,10,2,1477.01,78,20,0.0873509,3.29,NBHOP
|
||||
10,5,7,10,10,3,1512.24,42,17,0.173544,3.29,LATENCY
|
||||
10,5,6,4,10,2,738.044,36,10,0.0461945,3.29,NBHOP
|
||||
10,5,7,6,10,2,1031.95,42,13,0.0716466,3.29,NBHOP
|
||||
10,5,5,2,10,2,444.032,30,7,0.0212024,3.29,NBHOP
|
||||
10,5,3,5,10,2,696.174,18,8,0.0551053,3.29,NBHOP
|
||||
10,5,14,10,10,7,1890.44,84,24,0.396032,3.29,LATENCY
|
||||
10,5,7,10,90,2,1512.24,42,17,0.1182,3.29,BW
|
||||
10,5,9,10,10,9,1620.29,54,19,0.499174,3.29,LATENCY
|
||||
10,5,8,9,10,2,1446.08,48,17,0.108599,3.29,NBHOP
|
||||
10,5,11,10,70,2,1728.35,66,21,0.121359,3.29,BW
|
||||
10,5,5,4,10,2,684.039,30,9,0.0441026,3.29,NBHOP
|
||||
10,5,1,10,10,4,1188.08,6,11,0.218504,3.29,LATENCY
|
||||
10,5,12,8,10,2,1541.81,72,20,0.0990603,3.29,NBHOP
|
||||
10,5,10,5,10,2,1074.44,60,15,0.0610499,3.29,NBHOP
|
||||
10,5,3,10,10,1,1296.13,18,13,0.0643722,3.29,LATENCY
|
||||
10,5,10,10,50,2,1674.32,60,20,0.121688,3.29,BW
|
||||
10,5,10,10,10,8,1674.32,60,20,0.446898,3.29,LATENCY
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,NBHOP
|
||||
10,5,4,2,10,2,390.03,24,6,0.0210262,3.29,NBHOP
|
||||
10,5,6,10,10,5,1458.21,36,16,0.281644,3.29,LATENCY
|
||||
10,5,14,4,10,2,1170.08,84,18,0.0516451,3.29,NBHOP
|
||||
10,5,4,10,10,5,1350.16,24,14,0.280468,3.29,LATENCY
|
||||
10,5,8,10,10,7,1566.27,48,18,0.389686,3.29,LATENCY
|
||||
10,5,12,6,10,2,1301.92,72,18,0.0753212,3.29,NBHOP
|
||||
10,5,12,3,10,2,942.445,72,15,0.0369372,3.29,NBHOP
|
||||
10,5,14,6,10,2,1409.91,84,20,0.0770229,3.29,NBHOP
|
||||
10,5,3,8,10,2,1055.95,18,11,0.0919907,3.29,NBHOP
|
||||
10,5,14,10,10,1,1890.44,84,24,0.0720317,3.29,LATENCY
|
||||
10,5,11,10,10,1,1728.35,66,21,0.0686554,3.29,LATENCY
|
||||
10,5,11,10,10,9,1728.35,66,21,0.500655,3.29,LATENCY
|
||||
10,5,1,10,10,1,1188.08,6,11,0.0565039,3.29,LATENCY
|
||||
10,5,13,10,10,5,1836.41,78,23,0.285283,3.29,LATENCY
|
||||
10,5,3,1,10,2,215.981,0,4,0,3.29,NBHOP
|
||||
10,5,4,9,10,2,1230.05,24,13,0.105932,3.29,NBHOP
|
||||
10,5,6,10,10,7,1458.21,36,16,0.389644,3.29,LATENCY
|
||||
10,5,6,10,30,2,1458.21,36,16,0.118636,3.29,BW
|
||||
10,5,11,10,10,5,1728.35,66,21,0.284655,3.29,LATENCY
|
||||
10,5,8,1,10,2,485.927,0,9,0,3.29,NBHOP
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,LATENCY
|
||||
10,5,2,10,10,10,1242.1,12,12,0.549517,3.29,LATENCY
|
||||
10,5,10,10,30,2,1674.32,60,20,0.12189,3.29,BW
|
||||
10,5,9,10,50,2,1620.29,54,19,0.119964,3.29,BW
|
||||
10,5,9,5,10,2,1020.4,54,14,0.0605286,3.29,NBHOP
|
||||
10,5,3,6,10,2,815.987,18,9,0.0695587,3.29,NBHOP
|
||||
10,5,6,10,50,2,1458.21,36,16,0.118434,3.29,BW
|
||||
10,5,10,10,10,7,1674.32,60,20,0.392898,3.29,LATENCY
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,BW
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,NBSENSORS
|
||||
10,5,14,3,10,2,1050.52,84,17,0.0408313,3.29,NBHOP
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,NBHOP
|
||||
10,5,8,10,50,2,1566.27,48,18,0.118476,3.29,BW
|
||||
10,5,4,10,10,3,1350.16,24,14,0.172468,3.29,LATENCY
|
||||
10,5,10,1,10,2,593.906,0,11,0,3.29,NBHOP
|
||||
10,5,15,2,10,2,984.068,90,17,0.030147,3.29,NBHOP
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,LATENCY
|
||||
10,5,6,10,10,4,1458.21,36,16,0.227644,3.29,LATENCY
|
||||
10,5,8,10,10,8,1566.27,48,18,0.443686,3.29,LATENCY
|
||||
10,5,13,10,10,9,1836.41,78,23,0.501283,3.29,LATENCY
|
||||
10,5,15,6,10,2,1463.9,90,21,0.0789799,3.29,NBHOP
|
||||
10,5,1,10,10,8,1188.08,6,11,0.434504,3.29,LATENCY
|
||||
10,5,4,5,10,2,750.211,24,9,0.0577648,3.29,NBHOP
|
||||
10,5,2,10,10,5,1242.1,12,12,0.279517,3.29,LATENCY
|
||||
10,5,15,10,10,8,1944.47,90,25,0.450884,3.29,LATENCY
|
||||
10,5,3,10,50,2,1296.13,18,13,0.117162,3.29,BW
|
||||
10,5,12,10,10,5,1782.38,72,22,0.284763,3.29,LATENCY
|
||||
10,5,12,9,10,2,1662.12,72,21,0.111567,3.29,NBHOP
|
||||
10,5,11,1,10,2,647.896,0,12,0,3.29,NBHOP
|
||||
10,5,3,3,10,2,456.149,18,6,0.0317123,3.29,NBHOP
|
||||
10,5,2,8,10,2,1001.97,12,10,0.0915105,3.29,NBHOP
|
||||
10,5,9,10,10,5,1620.29,54,19,0.283174,3.29,LATENCY
|
||||
10,5,5,10,10,7,1404.18,30,15,0.390484,3.29,LATENCY
|
||||
10,5,5,10,10,3,1404.18,30,15,0.174484,3.29,LATENCY
|
||||
10,5,3,10,10,10,1296.13,18,13,0.550372,3.29,LATENCY
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,LATENCY
|
||||
10,5,1,1,10,2,108.004,0,2,0,3.29,NBHOP
|
||||
10,5,8,10,10,6,1566.27,48,18,0.335686,3.29,LATENCY
|
||||
10,5,6,10,10,9,1458.21,36,16,0.497644,3.29,LATENCY
|
||||
10,5,8,4,10,2,846.051,48,12,0.0468565,3.29,NBHOP
|
||||
10,5,6,6,10,2,977.962,36,12,0.0692437,3.29,NBHOP
|
||||
10,5,1,3,10,2,348.087,6,4,0.026229,3.29,NBHOP
|
||||
10,5,6,10,70,2,1458.21,36,16,0.118348,3.29,BW
|
||||
10,5,3,10,10,8,1296.13,18,13,0.442372,3.29,LATENCY
|
||||
10,5,9,10,10,7,1620.29,54,19,0.391174,3.29,LATENCY
|
||||
10,5,3,10,10,6,1296.13,18,13,0.334372,3.29,LATENCY
|
||||
10,5,6,10,10,3,1458.21,36,16,0.173644,3.29,LATENCY
|
||||
10,5,5,1,10,2,323.959,0,6,0,3.29,NBHOP
|
||||
10,5,6,8,10,2,1217.9,36,14,0.093869,3.29,NBHOP
|
||||
10,5,4,10,10,8,1350.16,24,14,0.442468,3.29,LATENCY
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,NBHOP
|
||||
10,5,2,10,10,9,1242.1,12,12,0.495517,3.29,LATENCY
|
||||
10,5,14,10,10,5,1890.44,84,24,0.288032,3.29,LATENCY
|
||||
10,5,4,7,10,2,990.372,24,11,0.0806572,3.29,NBHOP
|
||||
10,5,14,5,10,2,1290.6,84,19,0.0646285,3.29,NBHOP
|
||||
10,5,13,10,70,2,1836.41,78,23,0.121987,3.29,BW
|
||||
10,5,14,10,10,9,1890.44,84,24,0.504032,3.29,LATENCY
|
||||
10,5,10,10,10,4,1674.32,60,20,0.230898,3.29,LATENCY
|
||||
10,5,14,10,10,10,1890.44,84,24,0.558032,3.29,LATENCY
|
||||
10,5,13,10,10,10,1836.41,78,23,0.555283,3.29,LATENCY
|
||||
10,5,2,10,10,7,1242.1,12,12,0.387517,3.29,LATENCY
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,NBHOP
|
||||
10,5,2,10,30,2,1242.1,12,12,0.11651,3.29,BW
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,LATENCY
|
||||
10,5,13,3,10,2,996.481,78,16,0.0386852,3.29,NBHOP
|
||||
10,5,10,4,10,2,954.061,60,14,0.0477382,3.29,NBHOP
|
||||
10,5,7,10,70,2,1512.24,42,17,0.118248,3.29,BW
|
||||
10,5,5,3,10,2,564.212,30,8,0.0334324,3.29,NBHOP
|
||||
10,5,3,7,10,2,936.302,18,10,0.0814983,3.29,NBHOP
|
||||
10,5,1,10,10,5,1188.08,6,11,0.272504,3.29,LATENCY
|
||||
10,5,10,10,10,1,1674.32,60,20,0.0688975,3.29,LATENCY
|
||||
10,5,13,10,50,2,1836.41,78,23,0.122073,3.29,BW
|
||||
10,5,11,10,10,10,1728.35,66,21,0.554655,3.29,LATENCY
|
||||
10,5,8,10,10,9,1566.27,48,18,0.497686,3.29,LATENCY
|
||||
10,5,15,10,10,3,1944.47,90,25,0.180884,3.29,LATENCY
|
||||
10,5,2,3,10,2,402.118,12,5,0.0315625,3.29,NBHOP
|
||||
10,5,4,1,10,2,269.97,0,5,0,3.29,NBHOP
|
||||
10,5,7,10,10,8,1512.24,42,17,0.443544,3.29,LATENCY
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,NBHOP
|
||||
10,5,15,10,10,1,1944.47,90,25,0.0728842,3.29,LATENCY
|
||||
10,5,10,9,10,2,1554.1,60,19,0.111113,3.29,NBHOP
|
||||
10,5,1,10,70,2,1188.08,6,11,0.109208,3.29,BW
|
||||
10,5,1,10,10,10,1188.08,6,11,0.542504,3.29,LATENCY
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,LATENCY
|
||||
10,5,2,10,10,4,1242.1,12,12,0.225517,3.29,LATENCY
|
||||
10,5,15,9,10,2,1824.14,90,24,0.11431,3.29,NBHOP
|
||||
10,5,11,4,10,2,1008.07,66,15,0.0502385,3.29,NBHOP
|
||||
10,5,11,10,10,2,1728.35,66,21,0.122655,3.29,BW
|
||||
10,5,5,10,10,8,1404.18,30,15,0.444484,3.29,LATENCY
|
||||
10,5,8,3,10,2,726.31,48,11,0.0361296,3.29,NBHOP
|
||||
10,5,10,3,10,2,834.377,60,13,0.0359287,3.29,NBHOP
|
||||
10,5,11,10,10,4,1728.35,66,21,0.230655,3.29,LATENCY
|
||||
10,5,4,10,10,7,1350.16,24,14,0.388468,3.29,LATENCY
|
||||
10,5,12,5,10,2,1182.52,72,17,0.0615217,3.29,NBHOP
|
||||
10,5,9,9,10,2,1500.09,54,18,0.109942,3.29,NBHOP
|
||||
10,5,1,10,30,2,1188.08,6,11,0.109496,3.29,BW
|
||||
10,5,7,10,10,1,1512.24,42,17,0.065544,3.29,LATENCY
|
||||
10,5,11,10,10,6,1728.35,66,21,0.338655,3.29,LATENCY
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,BW
|
||||
10,5,11,8,10,2,1487.82,66,19,0.0984001,3.29,NBHOP
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,BW
|
||||
10,5,6,10,90,2,1458.21,36,16,0.1183,3.29,BW
|
||||
10,5,5,10,10,1,1404.18,30,15,0.0664843,3.29,LATENCY
|
||||
10,5,12,10,10,7,1782.38,72,22,0.392763,3.29,LATENCY
|
||||
10,5,15,10,50,2,1944.47,90,25,0.125674,3.29,BW
|
||||
10,5,2,10,90,2,1242.1,12,12,0.116173,3.29,BW
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,NBSENSORS
|
||||
10,5,9,6,10,2,1139.94,54,15,0.0732161,3.29,NBHOP
|
||||
10,5,1,10,50,2,1188.08,6,11,0.109294,3.29,BW
|
||||
10,5,9,10,70,2,1620.29,54,19,0.119878,3.29,BW
|
||||
10,5,6,1,10,2,377.948,0,7,0,3.29,NBHOP
|
||||
10,5,12,10,10,1,1782.38,72,22,0.0687625,3.29,LATENCY
|
||||
10,5,13,1,10,2,755.876,0,14,0,3.29,NBHOP
|
||||
10,5,14,10,50,2,1890.44,84,24,0.124822,3.29,BW
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,NBHOP
|
||||
10,5,13,10,10,7,1836.41,78,23,0.393283,3.29,LATENCY
|
||||
10,5,6,10,10,8,1458.21,36,16,0.443644,3.29,LATENCY
|
||||
10,5,13,10,10,8,1836.41,78,23,0.447283,3.29,LATENCY
|
||||
10,5,5,6,10,2,923.97,30,11,0.068991,3.29,NBHOP
|
||||
10,5,4,6,10,2,869.978,24,10,0.0702622,3.29,NBHOP
|
||||
10,5,11,7,10,2,1368.87,66,18,0.0867735,3.29,NBHOP
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,BW
|
||||
10,5,11,10,10,8,1728.35,66,21,0.446655,3.29,LATENCY
|
||||
10,5,12,10,10,6,1782.38,72,22,0.338763,3.29,LATENCY
|
||||
10,5,15,10,10,5,1944.47,90,25,0.288884,3.29,LATENCY
|
||||
10,5,9,4,10,2,900.056,54,13,0.0477678,3.29,NBHOP
|
||||
10,5,7,1,10,2,431.937,0,8,0,3.29,NBHOP
|
||||
10,5,6,7,10,2,1098.51,36,13,0.0812177,3.29,NBHOP
|
||||
10,5,2,10,10,2,1242.1,12,12,0.117517,3.29,NBHOP
|
||||
10,5,7,4,10,2,792.047,42,11,0.0471126,3.29,NBHOP
|
||||
10,5,11,3,10,2,888.412,66,14,0.0379922,3.29,NBHOP
|
||||
10,5,4,10,10,10,1350.16,24,14,0.550468,3.29,LATENCY
|
||||
10,5,10,10,10,9,1674.32,60,20,0.500898,3.29,LATENCY
|
||||
10,5,5,7,10,2,1044.44,30,12,0.0806844,3.29,NBHOP
|
||||
10,5,12,10,30,2,1782.38,72,22,0.121755,3.29,BW
|
||||
10,5,5,5,10,2,804.249,30,10,0.056026,3.29,NBHOP
|
||||
10,5,3,10,90,2,1296.13,18,13,0.117028,3.29,BW
|
||||
10,5,8,10,10,10,1566.27,48,18,0.551686,3.29,LATENCY
|
||||
10,5,6,10,10,10,1458.21,36,16,0.551644,3.29,LATENCY
|
||||
10,5,14,8,10,2,1649.78,84,22,0.101877,3.29,NBHOP
|
||||
10,5,14,10,90,2,1890.44,84,24,0.124688,3.29,BW
|
||||
10,5,7,10,10,9,1512.24,42,17,0.497544,3.29,LATENCY
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,NBHOP
|
||||
10,5,4,10,10,6,1350.16,24,14,0.334468,3.29,LATENCY
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,LATENCY
|
||||
10,5,9,10,10,4,1620.29,54,19,0.229174,3.29,LATENCY
|
||||
10,5,11,9,10,2,1608.11,66,20,0.110984,3.29,NBHOP
|
||||
10,5,11,10,50,2,1728.35,66,21,0.121445,3.29,BW
|
||||
10,5,13,10,10,1,1836.41,78,23,0.0692831,3.29,LATENCY
|
||||
10,5,1,4,10,2,468.029,6,5,0.04246,3.29,NBHOP
|
||||
10,5,10,10,70,2,1674.32,60,20,0.121602,3.29,BW
|
||||
10,5,12,10,70,2,1782.38,72,22,0.121467,3.29,BW
|
||||
10,5,7,10,10,7,1512.24,42,17,0.389544,3.29,LATENCY
|
||||
10,5,13,10,10,4,1836.41,78,23,0.231283,3.29,LATENCY
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,BW
|
||||
10,5,12,10,90,2,1782.38,72,22,0.121419,3.29,BW
|
||||
10,5,8,10,10,5,1566.27,48,18,0.281686,3.29,LATENCY
|
||||
10,5,7,10,10,6,1512.24,42,17,0.335544,3.29,LATENCY
|
||||
10,5,11,6,10,2,1247.93,66,17,0.0749006,3.29,NBHOP
|
||||
10,5,12,10,50,2,1782.38,72,22,0.121553,3.29,BW
|
||||
10,5,9,1,10,2,539.916,0,10,0,3.29,NBHOP
|
||||
10,5,13,10,10,2,1836.41,78,23,0.123283,3.29,LATENCY
|
||||
10,5,15,7,10,2,1585.16,90,22,0.0899177,3.29,NBHOP
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,NBSENSORS
|
||||
10,5,15,10,10,10,1944.47,90,25,0.558884,3.29,LATENCY
|
||||
10,5,4,3,10,2,510.181,24,7,0.03217,3.29,NBHOP
|
||||
10,5,13,10,30,2,1836.41,78,23,0.122275,3.29,BW
|
||||
10,5,6,10,10,6,1458.21,36,16,0.335644,3.29,LATENCY
|
||||
10,5,7,10,10,4,1512.24,42,17,0.227544,3.29,LATENCY
|
||||
10,5,15,10,10,6,1944.47,90,25,0.342884,3.29,LATENCY
|
||||
10,5,13,10,90,2,1836.41,78,23,0.121939,3.29,BW
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,NBHOP
|
||||
10,5,7,7,10,2,1152.58,42,14,0.0835217,3.29,NBHOP
|
||||
10,5,12,10,10,4,1782.38,72,22,0.230763,3.29,LATENCY
|
||||
10,5,14,7,10,2,1531.09,84,21,0.090289,3.29,NBHOP
|
||||
10,5,14,10,70,2,1890.44,84,24,0.124736,3.29,BW
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,BW
|
||||
10,5,8,10,10,3,1566.27,48,18,0.173686,3.29,LATENCY
|
||||
10,5,15,10,30,2,1944.47,90,25,0.125876,3.29,BW
|
||||
10,5,14,2,10,2,930.063,84,16,0.0284299,3.29,NBHOP
|
||||
10,5,7,10,30,2,1512.24,42,17,0.118536,3.29,BW
|
||||
10,5,10,10,10,3,1674.32,60,20,0.176898,3.29,LATENCY
|
||||
10,5,2,2,10,2,282.028,12,4,0.019416,3.29,NBHOP
|
||||
10,5,3,10,10,9,1296.13,18,13,0.496372,3.29,LATENCY
|
||||
10,5,8,10,10,1,1566.27,48,18,0.0656858,3.29,LATENCY
|
||||
10,5,2,9,10,2,1122.04,12,11,0.104295,3.29,NBHOP
|
||||
10,5,2,4,10,2,522.032,12,6,0.045181,3.29,NBHOP
|
||||
10,5,4,10,30,2,1350.16,24,14,0.11746,3.29,BW
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,NBSENSORS
|
||||
10,5,12,7,10,2,1422.94,72,19,0.0862663,3.29,NBHOP
|
||||
10,5,2,7,10,2,882.233,12,9,0.0803245,3.29,NBHOP
|
||||
10,5,14,10,10,6,1890.44,84,24,0.342032,3.29,LATENCY
|
||||
10,5,14,10,10,3,1890.44,84,24,0.180032,3.29,LATENCY
|
||||
10,5,6,10,10,1,1458.21,36,16,0.0656441,3.29,LATENCY
|
||||
10,5,12,4,10,2,1062.07,72,16,0.0491456,3.29,NBHOP
|
||||
10,5,13,4,10,2,1116.08,78,17,0.0508868,3.29,NBHOP
|
||||
10,5,9,10,10,10,1620.29,54,19,0.553174,3.29,LATENCY
|
||||
10,5,15,1,10,2,863.855,0,16,0,3.29,NBHOP
|
||||
10,5,1,10,10,6,1188.08,6,11,0.326504,3.29,LATENCY
|
||||
10,5,4,10,70,2,1350.16,24,14,0.117172,3.29,BW
|
||||
10,5,12,1,10,2,701.886,0,13,0,3.29,NBHOP
|
||||
10,5,12,10,10,3,1782.38,72,22,0.176763,3.29,LATENCY
|
||||
10,5,6,3,10,2,618.245,36,9,0.0334377,3.29,NBHOP
|
||||
10,5,10,10,10,6,1674.32,60,20,0.338898,3.29,LATENCY
|
||||
10,5,9,10,10,3,1620.29,54,19,0.175174,3.29,LATENCY
|
||||
10,5,2,5,10,2,642.136,12,7,0.055376,3.29,NBHOP
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,BW
|
||||
10,5,4,10,10,1,1350.16,24,14,0.0644679,3.29,LATENCY
|
||||
10,5,2,10,70,2,1242.1,12,12,0.116222,3.29,BW
|
||||
10,5,8,5,10,2,966.364,48,13,0.0590559,3.29,NBHOP
|
||||
10,5,12,10,10,8,1782.38,72,22,0.446763,3.29,LATENCY
|
||||
10,5,1,10,10,3,1188.08,6,11,0.164504,3.29,LATENCY
|
||||
10,5,4,8,10,2,1109.94,24,12,0.094549,3.29,NBHOP
|
||||
10,5,15,8,10,2,1703.76,90,23,0.100124,3.29,NBHOP
|
||||
10,5,11,10,30,2,1728.35,66,21,0.121647,3.29,BW
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,NBSENSORS
|
||||
10,5,2,10,10,8,1242.1,12,12,0.441518,3.29,LATENCY
|
||||
10,5,13,8,10,2,1595.79,78,21,0.0999088,3.29,NBHOP
|
||||
10,5,2,10,50,2,1242.1,12,12,0.116307,3.29,BW
|
||||
10,5,1,7,10,2,828.163,6,8,0.082982,3.29,NBHOP
|
||||
10,5,13,6,10,2,1355.91,78,19,0.0751484,3.29,NBHOP
|
||||
10,5,8,6,10,2,1085.95,48,14,0.071326,3.29,NBHOP
|
||||
10,5,7,10,50,2,1512.24,42,17,0.118334,3.29,BW
|
||||
10,5,3,4,10,2,576.034,18,7,0.043352,3.29,NBHOP
|
||||
10,5,2,10,10,1,1242.1,12,12,0.0635174,3.29,LATENCY
|
||||
10,5,3,10,30,2,1296.13,18,13,0.117364,3.29,BW
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,NBHOP
|
||||
10,5,5,10,70,2,1404.18,30,15,0.119188,3.29,BW
|
||||
10,5,2,10,10,6,1242.1,12,12,0.333518,3.29,LATENCY
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,LATENCY
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,BW
|
||||
10,5,11,10,10,7,1728.35,66,21,0.392655,3.29,LATENCY
|
||||
10,5,7,2,10,2,552.036,42,9,0.0218391,3.29,NBHOP
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,LATENCY
|
||||
10,5,8,10,70,2,1566.27,48,18,0.11839,3.29,BW
|
||||
10,5,7,10,10,5,1512.24,42,17,0.281544,3.29,LATENCY
|
||||
10,5,4,10,10,9,1350.16,24,14,0.496468,3.29,LATENCY
|
||||
10,5,15,4,10,2,1224.09,90,19,0.0531475,3.29,NBHOP
|
||||
10,5,15,10,90,2,1944.47,90,25,0.12554,3.29,BW
|
||||
10,5,15,10,10,9,1944.47,90,25,0.504884,3.29,LATENCY
|
||||
10,5,2,1,10,2,161.992,0,3,0,3.29,NBHOP
|
||||
10,5,11,10,90,2,1728.35,66,21,0.121311,3.29,BW
|
||||
10,5,10,8,10,2,1433.84,60,18,0.097937,3.29,NBHOP
|
||||
10,5,6,2,10,2,498.033,36,8,0.0211543,3.29,NBHOP
|
||||
10,5,8,2,10,2,606.039,48,10,0.0233409,3.29,NBHOP
|
||||
10,5,11,2,10,2,768.049,66,13,0.0253035,3.29,NBHOP
|
||||
10,5,3,10,10,5,1296.13,18,13,0.280372,3.29,LATENCY
|
||||
10,5,3,2,10,2,336.029,18,5,0.0229953,3.29,NBHOP
|
||||
10,5,5,9,10,2,1284.06,30,14,0.107476,3.29,NBHOP
|
||||
10,5,2,10,10,3,1242.1,12,12,0.171517,3.29,LATENCY
|
||||
10,5,1,2,10,2,228.027,6,3,0.017115,3.29,NBHOP
|
||||
10,5,12,10,10,10,1782.38,72,22,0.554763,3.29,LATENCY
|
||||
10,5,13,2,10,2,876.058,78,15,0.0264602,3.29,NBHOP
|
||||
10,5,2,6,10,2,761.997,12,8,0.068391,3.29,NBHOP
|
||||
10,5,10,7,10,2,1314.8,60,17,0.0847696,3.29,NBHOP
|
||||
10,5,15,10,70,2,1944.47,90,25,0.125588,3.29,BW
|
||||
10,5,13,9,10,2,1716.12,78,22,0.110708,3.29,NBHOP
|
||||
10,5,13,5,10,2,1236.56,78,18,0.0634254,3.29,NBHOP
|
||||
10,5,8,10,10,2,1566.27,48,18,0.119686,3.29,BW
|
||||
10,5,12,10,10,2,1782.38,72,22,0.122763,3.29,BW
|
||||
10,5,15,5,10,2,1344.65,90,20,0.0657167,3.29,NBHOP
|
||||
10,5,12,10,10,9,1782.38,72,22,0.500763,3.29,LATENCY
|
||||
10,5,7,10,10,2,1512.24,42,17,0.119544,3.29,BW
|
||||
10,5,9,10,10,1,1620.29,54,19,0.0671741,3.29,LATENCY
|
||||
10,5,5,8,10,2,1163.92,30,13,0.0942834,3.29,NBHOP
|
||||
10,5,9,10,90,2,1620.29,54,19,0.11983,3.29,BW
|
||||
10,5,14,10,10,2,1890.44,84,24,0.126032,3.29,LATENCY
|
||||
10,5,14,9,10,2,1770.13,84,23,0.114168,3.29,NBHOP
|
||||
10,5,1,6,10,2,708.007,6,7,0.070751,3.29,NBHOP
|
||||
10,5,1,9,10,2,1068.04,6,10,0.102327,3.29,NBHOP
|
||||
10,5,4,10,10,4,1350.16,24,14,0.226468,3.29,LATENCY
|
||||
10,5,9,3,10,2,780.343,54,12,0.034807,3.29,NBHOP
|
||||
10,5,14,10,10,4,1890.44,84,24,0.234032,3.29,LATENCY
|
||||
10,5,4,4,10,2,630.037,24,8,0.04541,3.29,NBHOP
|
||||
10,5,15,10,10,4,1944.47,90,25,0.234884,3.29,LATENCY
|
||||
10,5,5,10,30,2,1404.18,30,15,0.119476,3.29,BW
|
||||
10,5,3,10,10,2,1296.13,18,13,0.118372,3.29,NBHOP
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,LATENCY
|
||||
10,5,13,10,10,6,1836.41,78,23,0.339283,3.29,LATENCY
|
||||
10,5,11,5,10,2,1128.48,66,16,0.0627003,3.29,NBHOP
|
||||
10,5,1,10,90,2,1188.08,6,11,0.10916,3.29,BW
|
||||
10,5,5,10,10,6,1404.18,30,15,0.336484,3.29,LATENCY
|
||||
10,5,1,10,10,2,1188.08,6,11,0.110504,3.29,NBHOP
|
||||
10,5,15,10,10,7,1944.47,90,25,0.396884,3.29,LATENCY
|
||||
10,5,6,5,10,2,858.287,36,11,0.056738,3.29,NBHOP
|
||||
10,5,5,10,10,10,1404.18,30,15,0.552484,3.29,LATENCY
|
||||
10,5,6,9,10,2,1338.07,36,15,0.106302,3.29,NBHOP
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,BW
|
||||
10,5,3,9,10,2,1176.05,18,12,0.104621,3.29,NBHOP
|
||||
10,5,9,10,10,6,1620.29,54,19,0.337174,3.29,LATENCY
|
||||
10,5,3,10,10,4,1296.13,18,13,0.226372,3.29,LATENCY
|
||||
10,5,3,10,10,7,1296.13,18,13,0.388372,3.29,LATENCY
|
||||
10,5,5,10,10,5,1404.18,30,15,0.282484,3.29,LATENCY
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,BW
|
||||
10,5,12,2,10,2,822.053,72,14,0.0254289,3.29,NBHOP
|
||||
10,5,5,10,10,4,1404.18,30,15,0.228484,3.29,LATENCY
|
||||
10,5,14,1,10,2,809.865,0,15,0,3.29,NBHOP
|
||||
10,5,10,2,10,2,714.045,60,12,0.0236707,3.29,NBHOP
|
||||
10,5,1,10,10,7,1188.08,6,11,0.380504,3.29,LATENCY
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,LATENCY
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,LATENCY
|
||||
10,5,1,10,10,9,1188.08,6,11,0.488504,3.29,LATENCY
|
||||
10,5,10,10,90,2,1674.32,60,20,0.121554,3.29,BW
|
||||
10,5,9,2,10,2,660.041,54,11,0.0225149,3.29,NBHOP
|
||||
10,5,3,10,70,2,1296.13,18,13,0.117076,3.29,BW
|
||||
10,5,9,10,30,2,1620.29,54,19,0.120166,3.29,BW
|
||||
10,5,10,10,10,10,1674.32,60,20,0.554898,3.29,LATENCY
|
||||
10,5,14,10,30,2,1890.44,84,24,0.125024,3.29,BW
|
||||
10,5,9,10,10,8,1620.29,54,19,0.445174,3.29,LATENCY
|
||||
10,5,8,10,10,4,1566.27,48,18,0.227686,3.29,LATENCY
|
||||
10,5,15,3,10,2,1104.55,90,18,0.0404363,3.29,NBHOP
|
||||
10,5,10,6,10,2,1193.93,60,16,0.0726894,3.29,NBHOP
|
||||
10,5,4,10,50,2,1350.16,24,14,0.117258,3.29,BW
|
||||
10,5,9,7,10,2,1260.73,54,16,0.0857653,3.29,NBHOP
|
||||
10,5,8,10,90,2,1566.27,48,18,0.118342,3.29,BW
|
||||
10,5,10,10,10,2,1674.32,60,20,0.122898,3.29,LATENCY
|
||||
10,5,9,10,10,2,1620.29,54,19,0.121174,3.29,NBHOP
|
||||
10,5,6,10,10,2,1458.21,36,16,0.119644,3.29,NBHOP
|
||||
10,5,15,10,10,2,1944.47,90,25,0.126884,3.29,BW
|
||||
10,5,7,10,10,10,1512.24,42,17,0.551544,3.29,LATENCY
|
||||
10,5,8,7,10,2,1206.65,48,15,0.0822275,3.29,NBHOP
|
||||
10,5,7,8,10,2,1271.89,42,15,0.0957549,3.29,NBHOP
|
||||
10,5,5,10,50,2,1404.18,30,15,0.119274,3.29,BW
|
||||
10,5,9,8,10,2,1379.85,54,17,0.0962989,3.29,NBHOP
|
||||
10,5,5,10,90,2,1404.18,30,15,0.11914,3.29,BW
|
||||
10,5,4,10,10,2,1350.16,24,14,0.118468,3.29,NBHOP
|
||||
10,5,8,8,10,2,1325.87,48,16,0.0955481,3.29,NBHOP
|
||||
10,5,5,10,10,2,1404.18,30,15,0.120484,3.29,LATENCY
|
||||
10,5,5,10,10,9,1404.18,30,15,0.498484,3.29,LATENCY
|
||||
10,5,13,10,10,3,1836.41,78,23,0.177283,3.29,LATENCY
|
||||
10,5,8,10,30,2,1566.27,48,18,0.118678,3.29,BW
|
||||
10,5,4,10,90,2,1350.16,24,14,0.117124,3.29,BW
|
||||
10,5,7,9,10,2,1392.07,42,16,0.108944,3.29,NBHOP
|
||||
10,5,3,10,10,3,1296.13,18,13,0.172372,3.29,LATENCY
|
||||
10,5,7,5,10,2,912.325,42,12,0.0595301,3.29,NBHOP
|
||||
10,5,7,3,10,2,672.278,42,10,0.0346726,3.29,NBHOP
|
||||
10,5,10,10,10,5,1674.32,60,20,0.284898,3.29,LATENCY
|
||||
10,5,14,10,10,8,1890.44,84,24,0.450032,3.29,LATENCY
|
||||
10,5,1,8,10,2,947.989,6,9,0.088168,3.29,NBHOP
|
||||
10,5,11,10,10,3,1728.35,66,21,0.176655,3.29,LATENCY
|
||||
10,5,1,5,10,2,588.099,6,6,0.049619,3.29,NBHOP
|
||||
10,5,13,7,10,2,1477.01,78,20,0.0873509,3.29,NBHOP
|
||||
10,5,7,10,10,3,1512.24,42,17,0.173544,3.29,LATENCY
|
||||
10,5,6,4,10,2,738.044,36,10,0.0461945,3.29,NBHOP
|
||||
10,5,7,6,10,2,1031.95,42,13,0.0716466,3.29,NBHOP
|
||||
10,5,5,2,10,2,444.032,30,7,0.0212024,3.29,NBHOP
|
||||
10,5,3,5,10,2,696.174,18,8,0.0551053,3.29,NBHOP
|
||||
10,5,14,10,10,7,1890.44,84,24,0.396032,3.29,LATENCY
|
||||
10,5,7,10,90,2,1512.24,42,17,0.1182,3.29,BW
|
||||
10,5,9,10,10,9,1620.29,54,19,0.499174,3.29,LATENCY
|
||||
10,5,8,9,10,2,1446.08,48,17,0.108599,3.29,NBHOP
|
||||
10,5,11,10,70,2,1728.35,66,21,0.121359,3.29,BW
|
||||
|
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Some files were not shown because too many files have changed in this diff Show more
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Add table
Reference in a new issue