diff --git a/2019-ICA3PP.org b/2019-ICA3PP.org
index 4141ac8..edded9a 100644
--- a/2019-ICA3PP.org
+++ b/2019-ICA3PP.org
@@ -409,9 +409,9 @@ and transmission technologies.
 
 * Evaluation 
 #+LaTeX: \label{sec:eval}
-In this section, we analyze the experimental results.
 
 ** 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
    energy consumption. To this end, we run several simulations in ns3 with 15 sensors using
    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.
    2. For the network part, the data packets generated by the IoT
       device travel through network switches, routers and ports that
-      are shared with other trafic.
-   3. For the cloud part, the VM hosthing the data is shared with
+      are shared with other traffic.
+   3. For the cloud part, the VM hosting the data is shared with
       other IoT devices belonging to the same application and the
       server hosting the VM also hosts other VMs. Furthermore, the
       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
    consider here over-commitment of Cloud servers. Yet, the dynamic
    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
    the potential hosting of 14 small VMs with one virtual CPU each,
diff --git a/2019-ICA3PP.pdf b/2019-ICA3PP.pdf
index 15fa2fa..9d19ae6 100644
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