Add citation for SimGrid.

diff --git a/Heter_paper.tex b/Heter_paper.tex
index 755cef735e5b50729d631c406fc00f1c65ea6e3e..a569aaab4350ac75c4b4374872edf0804c79b3fb 100644 (file)
--- a/Heter_paper.tex
+++ b/Heter_paper.tex
@@ -391,9 +391,25 @@ called in the MPI program.
 
 \section{Experimental results}
 \label{sec.expe}
-The experiments  of this work are executed on the simulator Simgrid/SMPI v3.10. We configure the simulator to use a heterogeneous cluster 
-with one core per node. The proposed heterogeneous cluster has four different types of nodes. Each node in cluster has different characteristics 
-such as the maximum frequency speed, the number of available frequencies and dynamic and static powers values, see table (\ref{table:platform}). These different types of processing nodes simulate some real Intel processors. The maximum number of nodes that supported by the cluster is 144 nodes according to  characteristics of some MPI programs of the NAS benchmarks that used. We are use the same number from each type of nodes when running the MPI programs, for example if we execute the program on 8 node, there are 2 nodes from each type participating in the computing. The dynamic and static power values is different from one type to other. Each node has a dynamic and static power values proportional to their performance/GFlops, for more details see the Intel data sheets in \cite{47}.  Each node has a percentage of  80\% for dynamic power and 20\% for static power from the hole power consumption, the same assumption is made in \cite{45,3}. These nodes are connected via an ethernet network with 1 Gbit/s bandwidth.
+
+The experiments of this work are executed on the simulator Simgrid/SMPI
+v3.10~\cite{casanova+giersch+legrand+al.2014.versatile}. We configure the
+simulator to use a heterogeneous cluster with one core per node. The proposed
+heterogeneous cluster has four different types of nodes. Each node in cluster
+has different characteristics such as the maximum frequency speed, the number of
+available frequencies and dynamic and static powers values, see table
+(\ref{table:platform}). These different types of processing nodes simulate some
+real Intel processors. The maximum number of nodes that supported by the cluster
+is 144 nodes according to characteristics of some MPI programs of the NAS
+benchmarks that used. We are use the same number from each type of nodes when
+running the MPI programs, for example if we execute the program on 8 node, there
+are 2 nodes from each type participating in the computing. The dynamic and
+static power values is different from one type to other. Each node has a dynamic
+and static power values proportional to their performance/GFlops, for more
+details see the Intel data sheets in \cite{47}.  Each node has a percentage of
+80\% for dynamic power and 20\% for static power from the hole power
+consumption, the same assumption is made in \cite{45,3}. These nodes are
+connected via an ethernet network with 1 Gbit/s bandwidth.
 \begin{table}[htb]
   \caption{Heterogeneous nodes characteristics}
   % title of Table

diff --git a/my_reference.bib b/my_reference.bib
index 88afb9799fae06d53b0970d1dac7f728cd5b3a6a..a86c2bdc374b77e5ad60e0b386406c7bec0e0e86 100644 (file)
--- a/my_reference.bib
+++ b/my_reference.bib
@@ -634,6 +634,22 @@ address = {Milan, Italy}
   address =      {Washington, DC, USA}
 }
 
+@article{casanova+giersch+legrand+al.2014.versatile,
+  author = {Henri Casanova and Arnaud Giersch and Arnaud Legrand
+                  and Martin Quinson and Fr{\'e}d{\'e}ric Suter},
+  title = {Versatile, Scalable, and Accurate Simulation of
+                  Distributed Applications and Platforms },
+  journal = {Journal of Parallel and Distributed Computing},
+  issn = {0743-7315},
+  volume = 74,
+  number = 10,
+  pages = {2899--2917},
+  year = 2014,
+  month = oct,
+  doi = {10.1016/j.jpdc.2014.06.008},
+  pdf = {http://hal.inria.fr/docs/01/05/75/41/PDF/simgrid3-journal.pdf},
+}
+
 @article{46,
  author = {Zhuo, Jianli and Chakrabarti, Chaitali},
  title = {Energy-efficient Dynamic Task Scheduling Algorithms for DVS Systems},