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authorORGERIE Anne-Cecile <anne-cecile.orgerie@inria.fr>2019-07-19 13:21:07 +0200
committerORGERIE Anne-Cecile <anne-cecile.orgerie@inria.fr>2019-07-19 13:21:07 +0200
commitde531ec263f317cc77e2012d7200fd3f7b4c2332 (patch)
treed501d8d6806d7cae5a93ca77829e8d06d07b684a
parent13278c78d3c03179fd370b183f44185d9be51666 (diff)
version soumise
-rw-r--r--2019-ICA3PP.org8
-rw-r--r--2019-ICA3PP.pdfbin689364 -> 689405 bytes
2 files changed, 4 insertions, 4 deletions
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
--- a/2019-ICA3PP.pdf
+++ b/2019-ICA3PP.pdf
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