X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/loba-papers.git/blobdiff_plain/6a2c40b9574f7d9550ccfff4a3def72d19c59f7c..489cb553d50ebc655d7bb377a73ec6799b4353e3:/loba-besteffort/loba-besteffort.tex?ds=sidebyside

diff --git a/loba-besteffort/loba-besteffort.tex b/loba-besteffort/loba-besteffort.tex
index fd62857..b53ffec 100644
--- a/loba-besteffort/loba-besteffort.tex
+++ b/loba-besteffort/loba-besteffort.tex
@@ -1,72 +1,82 @@
-\documentclass[smallextended]{svjour3}
+\documentclass[preprint]{elsarticle}
+
 \usepackage[utf8]{inputenc}
 \usepackage[T1]{fontenc}
-\usepackage{mathptmx}
+
+\usepackage{newtxtext}
+\usepackage[cmintegrals]{newtxmath}
+%\usepackage{mathptmx,helvet,courier}
+
 \usepackage{amsmath}
-\usepackage{courier}
 \usepackage{graphicx}
 \usepackage{url}
 \usepackage[ruled,lined]{algorithm2e}
 
-\newcommand{\abs}[1]{\lvert#1\rvert} % \abs{x} -> |x|
-
-\newenvironment{algodata}{%
-  \begin{tabular}[t]{@{}l@{:~}l@{}}}{%
-  \end{tabular}}
-
+%%% Remove this before submission
 \newcommand{\FIXMEmargin}[1]{%
   \marginpar{\textbf{[FIXME]} {\footnotesize #1}}}
 \newcommand{\FIXME}[2][]{%
   \ifx #2\relax\relax \FIXMEmargin{#1}%
   \else \textbf{$\triangleright$\FIXMEmargin{#1}~#2}\fi}
 
+\newcommand{\abs}[1]{\lvert#1\rvert} % \abs{x} -> |x|
+
+\newenvironment{algodata}{%
+  \begin{tabular}[t]{@{}l@{:~}l@{}}}{%
+  \end{tabular}}
+
 \newcommand{\VAR}[1]{\textit{#1}}
 
 \begin{document}
 
-\title{Best effort strategy and virtual load
-  for asynchronous iterative load balancing}
+\begin{frontmatter}
 
-\author{RaphaÃ«l Couturier \and
-        Arnaud Giersch
-}
+\journal{Parallel Computing}
 
-\institute{R. Couturier \and A. Giersch \at
-              FEMTO-ST, University of Franche-ComtÃ©, Belfort, France \\
-              % Tel.: +123-45-678910\\
-              % Fax: +123-45-678910\\
-              \email{%
-                raphael.couturier@femto-st.fr,
-                arnaud.giersch@femto-st.fr}
-}
+\title{Best effort strategy and virtual load for\\
+  asynchronous iterative load balancing}
 
-\maketitle
+\author{RaphaÃ«l Couturier}
+\ead{raphael.couturier@femto-st.fr}
 
+\author{Arnaud Giersch\corref{cor}}
+\ead{arnaud.giersch@femto-st.fr}
 
-\begin{abstract}
-
-Most of the  time, asynchronous load balancing algorithms  have extensively been
-studied in a theoretical point  of view. The Bertsekas and Tsitsiklis'
-algorithm~\cite[section~7.4]{bertsekas+tsitsiklis.1997.parallel}
-is certainly  the most well known  algorithm for which the  convergence proof is
-given. From a  practical point of view, when  a node wants to balance  a part of
-its  load to some  of its  neighbors, the  strategy is  not described.   In this
-paper, we propose a strategy  called \emph{best effort} which tries to balance
-the load of a node to all  its less loaded neighbors while ensuring that all the
-nodes  concerned by  the load  balancing  phase have  the same  amount of  load.
-Moreover,  asynchronous  iterative  algorithms  in which  an  asynchronous  load
-balancing  algorithm is  implemented most  of the  time can  dissociate messages
-concerning load transfers and message  concerning load information.  In order to
-increase  the  converge of  a  load balancing  algorithm,  we  propose a  simple
-heuristic called \emph{virtual load} which allows a node that receives a load
-information message  to integrate the  load that it  will receive later  in its
-load (virtually) and consequently sends a (real) part of its load to some of its
-neighbors.  In order to  validate our  approaches, we  have defined  a simulator
-based on SimGrid which allowed us to conduct many experiments.
+\address{FEMTO-ST, University of Franche-ComtÃ©\\
+ 19 avenue de MarÃ©chal Juin, BP 527, 90016 Belfort cedex , France\\
+  % Tel.: +123-45-678910\\
+  % Fax: +123-45-678910\\
+}
 
+\cortext[cor]{Corresponding author.}
 
+\begin{abstract}
+  Most of the time, asynchronous load balancing algorithms have extensively been
+  studied in a theoretical point of view. The Bertsekas and Tsitsiklis'
+  algorithm~\cite[section~7.4]{bertsekas+tsitsiklis.1997.parallel} is certainly
+  the most well known algorithm for which the convergence proof is given. From a
+  practical point of view, when a node wants to balance a part of its load to
+  some of its neighbors, the strategy is not described.  In this paper, we
+  propose a strategy called \emph{best effort} which tries to balance the load
+  of a node to all its less loaded neighbors while ensuring that all the nodes
+  concerned by the load balancing phase have the same amount of load.  Moreover,
+  asynchronous iterative algorithms in which an asynchronous load balancing
+  algorithm is implemented most of the time can dissociate messages concerning
+  load transfers and message concerning load information.  In order to increase
+  the converge of a load balancing algorithm, we propose a simple heuristic
+  called \emph{virtual load} which allows a node that receives a load
+  information message to integrate the load that it will receive later in its
+  load (virtually) and consequently sends a (real) part of its load to some of
+  its neighbors.  In order to validate our approaches, we have defined a
+  simulator based on SimGrid which allowed us to conduct many experiments.
 \end{abstract}
 
+% \begin{keywords}
+%   %% keywords here, in the form: keyword \sep keyword
+% \end{keywords}
+
+\end{frontmatter}
+
 \section{Introduction}
 
 Load  balancing algorithms  are  extensively used  in  parallel and  distributed
@@ -299,7 +309,7 @@ neighbor.
 \section{Virtual load}
 \label{Virtual load}
 
-In this section,  we present the concept of \texttt{virtual  load}.  In order to
+In this section,  we present the concept of \emph{virtual load}.  In order to
 use this concept, load balancing messages must be sent using two different kinds
 of  messages:  load information  messages  and  load  balancing messages.   More
 precisely, a node  wanting to send a part  of its load to one  of its neighbors,
@@ -309,7 +319,7 @@ Load information  message are really  short, consequently they will  be received
 very quickly.  In opposition, load  balancing messages are often bigger and thus
 require more time to be transferred.
 
-The  concept  of  \texttt{virtual load}  allows  a  node  that received  a  load
+The  concept  of  \emph{virtual load}  allows  a  node  that received  a  load
 information message to integrate the load that it will receive later in its load
 (virtually)  and consequently send  a (real)  part of  its load  to some  of its
 neighbors. In fact,  a node that receives a load  information message knows that
@@ -785,14 +795,14 @@ On constate quoi (vÃ©rifier avec les chiffres)?
 
 \FIXME{conclude!}
 
-\begin{acknowledgements}
-  Computations have been performed on the supercomputer facilities of
-  the MÃ©socentre de calcul de Franche-ComtÃ©.
-\end{acknowledgements}
+\section*{Acknowledgements}
 
-\FIXME{find and add more references}
-\bibliographystyle{spmpsci}
+Computations have been performed on the supercomputer facilities of the
+MÃ©socentre de calcul de Franche-ComtÃ©.
+
+\bibliographystyle{elsarticle-num}
 \bibliography{biblio}
+\FIXME{find and add more references}
 
 \end{document}
 
