X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/rce2015.git/blobdiff_plain/d0e37e01511e067a4f0e1383cc46993cc15f655a..7ba4d34a63e54829b1a0d1f5fab102747429e8ff:/paper.tex

diff --git a/paper.tex b/paper.tex
index 43368b7..f1247fe 100644
--- a/paper.tex
+++ b/paper.tex
@@ -77,10 +77,10 @@
 %\itshape{\journalnamelc}\footnotemark[2]}
 
 \author{Charles Emile Ramamonjisoa\affil{1},
-    David Laiymani\affil{1},
-    Arnaud Giersch\affil{1},
-    Lilia Ziane Khodja\affil{2} and
-    Raphaël Couturier\affil{1}
+  Lilia Ziane Khodja\affil{2},
+  David Laiymani\affil{1},
+  Raphaël Couturier\affil{1} and
+  Arnaud Giersch\affil{1}
 }
 
 \address{
@@ -258,17 +258,16 @@ consumption. Several studies have demonstrated the accuracy of the simulation
 compared with execution on real physical architectures. In addition of SMPI,
 Simgrid provides other API which can be convienent for different distrbuted
 applications: computational grid applications, High Performance Computing (HPC),
-P2P but also clouds applications.In this paper we use the SMPI API. It
+P2P but also clouds applications. In this paper we use the SMPI API. It
 implements about \np[\%]{80} of the MPI 2.0 standard and allows minor
 modifications of the initial code~\cite{bedaride+degomme+genaud+al.2013.toward}
-(see section 4.2).
+(see Section~\ref{sec:04.02}).
 
 
  Provided as an input to the simulator, at least $3$ XML files describe the
  computational grid resources: number of clusters in the grid, number of
  processors/cores in each cluster, detailed description of the intra and inter
- networks and the list of the hosts in each cluster (see the details in
- paragraph ?). Simgrid uses a fluid model to simulate the program execution.
+ networks and the list of the hosts in each cluster (see the details in Section~\ref{sec:expe}). Simgrid uses a fluid model to simulate the program execution.
  This gives several simulation modes which produce accurate
  results~\cite{bedaride+degomme+genaud+al.2013.toward,
  velho+schnorr+casanova+al.2013.validity}. For instance, the "in vivo" mode
@@ -664,8 +663,8 @@ efficient for distributed systems with high latency networks.
 \centering
 \includegraphics[width=100mm]{cluster_x_nodes_n1_x_n2.pdf}
 \caption{Various grid configurations with two networks parameters: $N1$ vs. $N2$}
-\LZK{CE, remplacer les ``,'' des décimales par un ``.''}
-\RCE{ok}
+%\LZK{CE, remplacer les ``,'' des décimales par un ``.''}
+%\RCE{ok}
 \label{fig:02}
 \end{figure}