From e389f19bb8f06a68db291772c30b7d9ceec7ecc4 Mon Sep 17 00:00:00 2001 From: mquinson Date: Wed, 9 Jan 2008 00:01:49 +0000 Subject: [PATCH] Publi++ git-svn-id: svn+ssh://scm.gforge.inria.fr/svn/simgrid/simgrid/trunk@5182 48e7efb5-ca39-0410-a469-dd3cf9ba447f --- doc/publis.doc | 81 ++++++++++++++++++++++++++------------------------ 1 file changed, 42 insertions(+), 39 deletions(-) diff --git a/doc/publis.doc b/doc/publis.doc index 80611d2295..92d97ec374 100644 --- a/doc/publis.doc +++ b/doc/publis.doc @@ -1,51 +1,41 @@ /*! \page publis Reference publications about SimGrid -When citing SimGrid, the prefered reference paper is Scheduling -Distributed Applications: the SimGrid Simulation Framework, even if it's -a bit old now. We are actively working on improving this. +When citing SimGrid, the prefered reference paper is SimGrid: a +Generic Framework for Large-Scale Distributed Experimentations. -\li Scheduling Distributed Applications: the - SimGrid Simulation Framework\n - by Henri Casanova and Arnaud Legrand and Loris Marchal\n - Proceedings of the third IEEE International Symposium - on Cluster Computing and the Grid (CCGrid'03)\n - Since the advent of distributed computer systems an active field - of research has been the investigation of scheduling strategies - for parallel applications. The common approach is to employ - scheduling heuristics that approximate an optimal - schedule. Unfortunately, it is often impossible to obtain - analytical results to compare the efficacy of these heuristics. - One possibility is to conducts large numbers of back-to-back - experiments on real platforms. While this is possible on - tightly-coupled platforms, it is infeasible on modern distributed - platforms (i.e. Grids) as it is labor-intensive and does not - enable repeatable results. The solution is to resort to - simulations. Simulations not only enables repeatable results but - also make it possible to explore wide ranges of platform and +\li SimGrid: a Generic Framework for Large-Scale Distributed + Experimentations\n + by Henri Casanova, Arnaud Legrand and Martin Quinson\n + Proceedings of the 10th IEEE International Conference on Computer + Modelling and Simulation (UKSIM/EUROSIM'08)\n + Distributed computing is a very broad and active research area + comprising fields such as cluster computing, computational + grids, desktop grids and peer-to-peer (P2P) systems. + Unfortunately, it is often impossible to obtain theoretical or + analytical results to compare the performance of algorithms + targeting such systems. One possibility is to conduct large + numbers of back-to-back experiments on real platforms. While + this is possible on tightly-coupled platforms, it is infeasible + on modern distributed platforms as experiments are labor-intensive + and results typically not reproducible. Consequently, one must + resort to simulations, which enable reproducible results and also + make it possible to explore wide ranges of platform and application scenarios.\n - In this paper we present the SimGrid framework which enables the - simulation of distributed applications in distributed computing - environments for the specific purpose of developing and evaluating - scheduling algorithms. This paper focuses on SimGrid v2, which - greatly improves on the first version of the software with more - realistic network models and topologies. SimGrid v2 also enables - the simulation of distributed scheduling agents, which has become - critical for current scheduling research in large-scale platforms. - After describing and validating these features, we present a case - study by which we demonstrate the usefulness of SimGrid for - conducting scheduling research.\n - http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf + In this paper we describe the SimGrid framework, a + simulation-based framework for evaluating cluster, grid and P2P + algorithms and heuristics. This paper focuses on SimGrid v3, which + greatly improves on previous versions thanks to a novel and + validated modular simulation engine that achieves higher + simulation speed without hindering simulation accuracy. Also, two + new user interfaces were added to broaden the targeted research + community. After surveying existing tools and methodologies we + describe the key features and benefits of SimGrid.\n + www.loria.fr/~quinson/articles/SimGrid-uksim08.pdf Previous publication do not cover the GRAS part of the framework. So, if you want to cite GRAS, please use this publication instead: -\li Gras: A Research & Development Framework for Grid and P2P - Infrastructures\n - by Martin Quinson\n - Best paper of the 18th IASTED International Conference on - Parallel and Distributed Computing and Systems (PDCS 2006)\n - http://www.loria.fr/~quinson/articles/gras-iasted06.pdf \section publis_others Other publications @@ -89,6 +79,13 @@ splited in 3 pages (also accessible from the navbar on top of this page): M.S. Thesis, Dept. of Information and Computer Sciences, University of Hawai`i at Manoa, April 2007.\n http://navet.ics.hawaii.edu/~casanova/homepage/theses/kayo_fujiwara_MS.pdf +\li Gras: A Research & Development Framework for Grid and P2P + Infrastructures\n + by Martin Quinson\n + Best paper of the 18th IASTED International Conference on + Parallel and Distributed Computing and Systems (PDCS 2006)\n + http://www.loria.fr/~quinson/articles/gras-iasted06.pdf + \li The SimGrid Project - Simulation and Deployment of Distributed Applications\n by A. Legrand, M. Quinson, K. Fujiwara, H. Casanova\n POSTER in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n @@ -97,6 +94,12 @@ splited in 3 pages (also accessible from the navbar on top of this page): \endhtmlonly http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf +\li Scheduling Distributed Applications: the SimGrid Simulation Framework\n + by Henri Casanova and Arnaud Legrand and Loris Marchal\n + Proceedings of the third IEEE International Symposium + on Cluster Computing and the Grid (CCGrid'03)\n + http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf + \li A Network Model for Simulation of Grid Application\n by Henri Casanova and Loris Marchal\n \anchor paper_tcp -- 2.20.1