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ORGERIE Anne-Cecile 2019-07-19 13:21:07 +02:00
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@ -409,9 +409,9 @@ and transmission technologies.
* Evaluation * Evaluation
#+LaTeX: \label{sec:eval} #+LaTeX: \label{sec:eval}
In this section, we analyze the experimental results.
** IoT and Network Power Consumption ** IoT and Network Power Consumption
In this section, we analyze the experimental results.
In a first place, we start by studying the impact of the sensors' transmission frequency on their In a first place, we start by studying the impact of the sensors' transmission frequency on their
energy consumption. To this end, we run several simulations in ns3 with 15 sensors using energy consumption. To this end, we run several simulations in ns3 with 15 sensors using
different transmission frequencies. The results provided by Table different transmission frequencies. The results provided by Table
@ -562,8 +562,8 @@ In our case with small and sporadic network traffic, these results show that wit
belongs to the system's accounted consumption. belongs to the system's accounted consumption.
2. For the network part, the data packets generated by the IoT 2. For the network part, the data packets generated by the IoT
device travel through network switches, routers and ports that device travel through network switches, routers and ports that
are shared with other trafic. are shared with other traffic.
3. For the cloud part, the VM hosthing the data is shared with 3. For the cloud part, the VM hosting the data is shared with
other IoT devices belonging to the same application and the other IoT devices belonging to the same application and the
server hosting the VM also hosts other VMs. Furthermore, the server hosting the VM also hosts other VMs. Furthermore, the
server belongs to a data center and takes part in the overall server belongs to a data center and takes part in the overall
@ -645,7 +645,7 @@ In our case with small and sporadic network traffic, these results show that wit
virtual CPUs. We do not virtual CPUs. We do not
consider here over-commitment of Cloud servers. Yet, the dynamic consider here over-commitment of Cloud servers. Yet, the dynamic
energy part is computed with the real dynamic measurements, so it energy part is computed with the real dynamic measurements, so it
accounts for VM over-provisionning and resource under-utilization. accounts for VM over-provisioning and resource under-utilization.
In our case, the Cloud server has 14 cores, which corresponds to In our case, the Cloud server has 14 cores, which corresponds to
the potential hosting of 14 small VMs with one virtual CPU each, the potential hosting of 14 small VMs with one virtual CPU each,

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