X-Git-Url: http://info.iut-bm.univ-fcomte.fr/pub/gitweb/simgrid.git/blobdiff_plain/1e23f483facad7896791e5428ab9e6c9e3dad01a..abcec414741588aaaa8b719ae581b183b2327569:/doc/publis.doc diff --git a/doc/publis.doc b/doc/publis.doc index 5b2958b13b..c9a8f100a0 100644 --- a/doc/publis.doc +++ b/doc/publis.doc @@ -1,51 +1,37 @@ /*! \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 - -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 + 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 + http://www.loria.fr/~quinson/articles/SimGrid-uksim08.pdf \section publis_others Other publications @@ -67,11 +53,14 @@ splited in 3 pages (also accessible from the navbar on top of this page): - + + - + + - + +
Year20002001200220032004200520062007
Year200020012002200320042005200620072008Total
Amount of papers external to the core team- - - 3 6 3 8 3
- - - 3 6 3 8 5126
Amount of papers co-signed by one team member1 1 1 2 2 - 4 4
1 1 1 2 2 - 4 415
\page publis_core Other publications about the SimGrid framework @@ -86,6 +75,13 @@ 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 @@ -94,6 +90,12 @@ 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 @@ -170,7 +172,7 @@ splited in 3 pages (also accessible from the navbar on top of this page): highlights current implementation issues. We also give some experimental results and describe work that builds on SimGrid's functionalities.\n - http://grail.sdsc.edu/papers/simgrid_ccgrid01.ps.gz + http://doi.ieeecomputersociety.org/10.1109/CCGRID.2001.923223 \page publis_extern Papers that use SimGrid-generated results (not counting our owns) @@ -178,15 +180,28 @@ This list is a selection of articles. We list only papers written by people external to the development group, but we also use our tool ourselves (see next section). +- 2008 + - Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing\n + by Sascha Hunold, Thomas Rauber and Frédéric Suter.\n + Proceedings of the 3rd International Workshop on Workflow Systems in + e-Science (WSES 08), Lyon, France, May 2008. - 2007 - - Scheduling Δ-Critical Tasks in Mixed-Parallel Applications on a National Grid\n + - Reactive Grid Scheduling of DAG Applications.\n by + I. Hernandez and M. Cole (UK). In Parallel and Distributed Computing and Networks, 2007.\n + http://www.actapress.com/PaperInfo.aspx?PaperID=29625 + - Dynamic Scheduling of Multi-Processor Tasks on Clusters of Clusters\n + by S. Hunold, T. Rauber and G. Rünger.\n + Proceedings of the Sixth International Workshop on Algorithms, + Models and Tools for Parallel Computing on Heterogeneous Networks + (Heteropar'07), Austin, TX, September 2007. + - Scheduling Delta-Critical Tasks in Mixed-Parallel Applications on a National Grid\n by Frédéric Suter.\n In 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, September 2007. - Brokering strategies in computational grids using stochastic prediction models.\n by Vandy Berten and Bruno Gaujal. In Parallel Computing, vol. 33(4-5): 238-249, 2007.\n http://dev.ulb.ac.be/sched/articles/PARCO.pdf - - Managing Scheduling and Replication in the LHC Grid .\n by + - Managing Scheduling and Replication in the LHC Grid.\n by Thomas Ferrandiz and Vania Marangozova. In CoreGrid Workshop on middleware, 2007.\n