X-Git-Url: http://info.iut-bm.univ-fcomte.fr/pub/gitweb/simgrid.git/blobdiff_plain/597fed1bcbe054c18418f7332ebd923b69c01543..fb5f8d1e82c82e835b873c8b1eaf6fd7fe55882f:/doc/publis.doc diff --git a/doc/publis.doc b/doc/publis.doc index 994deafae5..951effb975 100644 --- a/doc/publis.doc +++ b/doc/publis.doc @@ -1,51 +1,47 @@ /*! \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. - -\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 +When citing SimGrid, the prefered reference paper is SimGrid: a +Generic Framework for Large-Scale Distributed Experimentations. + +\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/Research/Publications/2008-uksim.pdf + +\verbatim +@InProceedings{simgrid, + author = {Casanova, Henri and Legrand, Arnaud and Quinson, Martin}, + title = {{SimGrid: a Generic Framework for Large-Scale Distributed Experiments}}, + booktitle = {10th IEEE International Conference on Computer Modeling and Simulation}, + year = 2008, + month = mar +} +\endverbatim \section publis_others Other publications @@ -65,112 +61,11 @@ splited in 3 pages (also accessible from the navbar on top of this page): \section publis_count Amount of published papers using SimGrid results - - - - - - - -
Year20002001200220032004200520062007
Amount of paper external to the core team- - - 3 6 3 8 3
Amount of paper co-signed by one team member1 1 1 2 2 - 4 4
- -\page publis_core Other publications about the SimGrid framework - -\li Speed and Accuracy of Network Simulation in the SimGrid Framework\n - by K. Fujiwara, H. Casanova\n - in Proceedings of the First International Workshop on Network Simulation Tools (NSTools), Nantes, France, October 2007.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/fujiwara_nstool2007.pdf - -\li Cost and Accuracy of Packet-Level vs. Analytical Network Simulations: An Empirical Study\n - by K. Fujiwara\n - 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 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 - \htmlonly - - \endhtmlonly - http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf +\htmlinclude publis_count.html -\li A Network Model for Simulation of Grid Application\n - by Henri Casanova and Loris Marchal\n - \anchor paper_tcp - In this work we investigate network models that can be - potentially employed in the simulation of scheduling algorithms for - distributed computing applications. We seek to develop a model of TCP - communication which is both high-level and realistic. Previous research - works show that accurate and global modeling of wide-area networks, such - as the Internet, faces a number of challenging issues. However, some - global models of fairness and bandwidth-sharing exist, and can be link - withthe behavior of TCP. Using both previous results and simulation (with - NS), we attempt to understand the macroscopic behavior of - TCP communications. We then propose a global model of the network for the - Grid platform. We perform partial validation of this model in - simulation. The model leads to an algorithm for computing - bandwidth-sharing. This algorithm can then be implemented as part of Grid - application simulations. We provide such an implementation for the - SimGrid simulation toolkit.\n - ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-40.ps.gz +\page publis_core Publications about the SimGrid framework - -\li MetaSimGrid : Towards realistic scheduling simulation of - distributed applications\n - by Arnaud Legrand and Julien Lerouge\n - Most scheduling problems are already hard on homogeneous - platforms, they become quite intractable in an heterogeneous - framework such as a metacomputing grid. In the best cases, a - guaranteed heuristic can be found, but most of the time, it is - not possible. Real experiments or simulations are often - involved to test or to compare heuristics. However, on a - distributed heterogeneous platform, such experiments are - technically difficult to drive, because of the genuine - instability of the platform. It is almost impossible to - guarantee that a platform which is not dedicated to the - experiment, will remain exactly the same between two tests, - thereby forbidding any meaningful comparison. Simulations are - then used to replace real experiments, so as to ensure the - reproducibility of measured data. A key issue is the - possibility to run the simulations against a realistic - environment. The main idea of trace-based simulation is to - record the platform parameters today, and to simulate the - algorithms tomorrow, against the recorded data: even though it - is not the current load of the platform, it is realistic, - because it represents a fair summary of what happened - previously. A good example of a trace-based simulation tool is - SimGrid, a toolkit providing a set of core abstractions and - functionalities that can be used to easily build simulators for - specific application domains and/or computing environment - topologies. Nevertheless, SimGrid lacks a number of convenient - features to craft simulations of a distributed application - where scheduling decisions are not taken by a single - process. Furthermore, modeling a complex platform by hand is - fastidious for a few hosts and is almost impossible for a real - grid. This report is a survey on simulation for scheduling - evaluation purposes and present MetaSimGrid, a simulator built - on top of SimGrid.\n - ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-28.ps.gz - -\li SimGrid: A Toolkit for the Simulation of Application - Scheduling\n - by Henri Casanova\n - Advances in hardware and software technologies have made it - possible to deploy parallel applications over increasingly large - sets of distributed resources. Consequently, the study of - scheduling algorithms for such applications has been an active area - of research. Given the nature of most scheduling problems one must - resort to simulation to effectively evaluate and compare their - efficacy over a wide range of scenarios. It has thus become - necessary to simulate those algorithms for increasingly complex - distributed, dynamic, heterogeneous environments. In this paper we - present SimGrid, a simulation toolkit for the study of scheduling - algorithms for distributed application. This paper gives the main - concepts and models behind SimGrid, describes its API and - 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 +\htmlinclude publis_core_bib.html \page publis_extern Papers that use SimGrid-generated results (not counting our owns) @@ -178,194 +73,14 @@ 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). -- 2007 - - Scheduling Δ-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 - Thomas Ferrandiz and Vania Marangozova. In CoreGrid - Workshop on middleware, 2007.\n - -- 2006 - - Simbatch: an API for simulating and predicting the performance of parallel resources and batch systems.\n - INRIA Research Report 6040, November 2006.\n - https://hal.inria.fr/inria-00115880 - - Simbatch : une API pour la simulation et la prédiction de performances de systèmes batch\n - by Jean-Sébastien Gay and Yves Caniou.\n - In 17ème Rencontres Francophones du Parallélisme, des Architectures et des Systèmes, RenPar'17.\n - October 4-6, Perpignan, France - - Metascheduling Multiple Resource Types using the MMKP\n - by D. Vanderster, N. Dimopoulos, R. Sobie\n - 7th IEEE/ACM International Conference on Grid Computing\n - Barcelona, September 28th-29th 2006 - - Master-Slave Tasking on Asymmetric Networks\n - by Cyril Banino-Rokkones, Olivier Beaumont and Lasse Natvig.\n - In Proceedings of 12th International Euro-Par Conference, Euro-Par 2006.\n - August 29 - September 1, Pages 167--176, Dresden, Germany. - - Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms\n - by Tchimou N'Takpé and Frédéric Suter\n - Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS)\n - Minneapolis, MN, July 12-15, 2006. - - Sensitivity Analysis of Knapsack-based Task Scheduling on the Grid\n - by D.C. Vanderster and N.J. Dimopoulos.\n - In Proceedings of The 20th ACM International Conference on Supercomputing\n - Cairns, Australia, June 28-July 1, 2006.\n - http://portal.acm.org/citation.cfm?id=1183401.1183446&coll=GUIDE&dl=%23url.coll - - Hierarchical Scheduling of Independent Tasks with Shared Files\n - by H. Senger, F. Silva, W. Nascimento.\n - Proceedings of the Sixth IEEE International Symposium on Cluster - Computing and the Grid Workshop (CCGRIDW'06)\n - Singapore, 16-19 May 2006.\n - http://www.unisantos.br/mestrado/informatica/hermes/File/senger-HierarchicalScheduling-Workshop-TB120.pdf - - Evaluation of Knapsack-based Scheduling using the NPACI JOBLOG\n - by D. Vanderster, N. Dimopoulos, R. Parra-Hernandez and R. Sobie.\n - 20th International Symposium on High-Performance Computing in an - Advanced Collaborative Environment (HPCS'06)\n - St. John's, Newfoundland, Canada, 14-17 May 2006\n - http://doi.ieeecomputersociety.org/10.1109/HPCS.2006.23 - -- 2005 - - On Dynamic Resource Management Mechanism using Control - Theoretic Approach for Wide-Area Grid Computing\n - by Hiroyuki Ohsaki, Soushi Watanabe, and Makoto Imase\n - in Proceedings of IEEE Conference on Control Applications (CCA 2005), Aug. 2005.\n - http://www.ispl.jp/~oosaki/papers/Ohsaki05_CCA.pdf - - Evaluation of Meta-scheduler Architectures and Task Assignment Policies for - high Throughput Computing\n - by Eddy Caron, Vincent Garonne and Andrei Tsaregorodtsev\n - Proceedings of 4th Internationnal Symposium on Parallel and - Distributed Computing Job Scheduling Strategies for Parallel - Processing (ISPDC'05), July 2005.\n - http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2005/RR2005-27.pdf - - Algorithmes de redistribution de données pour anneaux de processeurs hétérogènes\n - by Hélène Renard, Yves Robert and Frédéric Vivien\n - In 16ième Rencontres Francophones du Parallélisme des Architectures et des Systèmes, Le Croisic, France, 6-8 avril 2005.\n - http://www.polytech.unice.fr/~hrenard/recherche/Renpar16.ps -- 2004 - - Deadline Scheduling with Priority for Client-Server Systems on the Grid\n - by E Caron, PK Chouhan, F Desprez\n - in IEEE International Conference On Grid Computing. Super Computing 2004, oct 2004. - - Efficient Scheduling Heuristics for GridRPC Systems\n - by Y. Caniou and E. Jeannot.\n - in IEEE QoS and Dynamic System workshop (QDS) of International Conference - on Parallel and Distributed Systems (ICPADS), New-Port Beach California, USA, - pages 621-630, July 2004\n - http://graal.ens-lyon.fr/~ycaniou/QDS04.ps - - Exploiting Replication and Data Reuse to Efficiently Schedule - Data-intensive Applications on Grids\n - by E. Santos-Neto, W. Cirne, F. Brasileiro, A. Lima.\n - Proceedings of 10th Job Scheduling Strategies for Parallel Processing, June 2004.\n - http://www.lsd.ufcg.edu.br/~elizeu/articles/jsspp.v6.pdf - - Resource Management and Knapsack Formulations on the Grid\n - by R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos\n - Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)\n - http://doi.ieeecomputersociety.org/10.1109/GRID.2004.54 - - Scheduling BoT Applications in Grids using a Slave Oriented Adaptive - Algorithm.\n - by T. Ferreto, C. A. F. De Rose and C. Northfleet.\n - Second International Symposium on Parallel and Distributed Processing - and Applications (ISPA), 2004, Hong Kong. Published in Lecture Notes in - Computer Science (LNCS), Volume 3358, by Springer-Verlag. p. 392-398. - - Data redistribution algorithms for heterogeneous processor rings\n - by Hélène Renard, Yves Robert and Frédéric Vivien\n - In International Conference on High Performance Computing HiPC'2004\n - http://www.polytech.unice.fr/~hrenard/recherche/Hipc.pdf -- 2003 - - Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments\n - by Wensheng Yao, Xiao Xie and Jinyuan You\n - in Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003 (LNCS)\n - http://www.chinagrid.edu.cn/chinagrid/download/GCC2003/pdf/266.pdf - - New Dynamic Heuristics in the Client-Agent-Server Model\n - by Y. Caniou and E. Jeannot\n - in IEEE 13th Heteregeneous Computing Workshop - HCW'03, Nice, France, April 2003.\n - http://graal.ens-lyon.fr/~ycaniou/HCW03.ps - - A Hierarchical Resource Reservation Algorithm for Network Enabled Servers\n - by E. Caron, F. Desprez, F. Petit, V. Villain\n - in the 17th International Parallel and Distributed Processing Symposium -- IPDPS'03, Nice - France, April 2003. +\htmlinclude publis_extern_bib.html \page publis_intra Our own papers that use SimGrid-generated results This list is a selection of the articles we have written that used results generated by SimGrid. -- 2007 - - Assessing the Quality of Automatically Built Network Representations\n - by Lionel Eyraud-Dubois and Martin Quinson\n - In Seventh IEEE International Symposium on Cluster Computing and - the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil. - - A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms\n - by T. N'takpé, F. Suter, and Henri Casanova\n - In 6th International Symposium on Parallel and Distributed Computing, Hagenberg, Austria, July 2007. - - A First Step Towards Automatically Building Network Representations\n - by Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quinson and Frédéric Vivien\n - In 12th International Euro-Par Conference 28-31 August, Rennes, France. - - Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications\n - by Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert\n - In IEEE Trans. Parallel Distributed Systems, 2007. -- 2006 - - On the Harmfulness of Redundant Batch Requests\n - by H. Casanova\n - Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/hpdc_2006.pdf - - An evaluation of Job Scheduling Strategies for Divisible Loads on Grid Platforms\n - by Y. Cardinale, H. Casanova\n - in Proceedings of the High Performance Computing & Simulation Conference (HPC&S'06), Bonn, Germany, May 2006.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/cardinale_2006.pdf - - Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications\n - by Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert\n - International Parallel and Distributed Processing Symposium IPDPS'2006, 2006 - - Interference-Aware Scheduling\n - by B. Kreaseck, L. Carter, H. Casanova, J. Ferrante, S. Nandy\n - International Journal of High Performance Computing Applications (IJHPCA).\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/kreaseck_ijhpca_2005.pdf -- 2004 - - From Heterogeneous Task Scheduling to Heterogeneous Mixed Data and Task Parallel Scheduling\n - by F. Suter, V. Boudet, F. Desprez, H. Casanova\n - Proceedings of Europar, 230--237, (LCNS volume 3149), Pisa, Italy, August 2004. - - On the Interference of Communication on Computation\n - by B. Kreaseck, L. Carter, H. Casanova, J. Ferrante\n - Proceedings of the workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Santa Fe, April 2004.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/k_pmeo2004.pdf - -- 2003 - - RUMR: Robust Scheduling for Divisible Workloads\n - by Y. Yang, H. Casanova\n - Proceedings of the 12th IEEE Symposium on High Performance and Distributed Computing (HPDC-12), Seattle, June 2003.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/yang_hpdc2003.pdf - - Resource Allocation Strategies for Guided Parameter Space Searches\n - by M. Faerman, A. Birnbaum, F. Berman, H. Casanova\n - International Journal of High Performance Computing Applications (IJHPCA), 17(4), 383--402, 2003.\n - http://grail.sdsc.edu/papers/faerman_ijhpca04.pdf -- 2002 - - Resource Allocation for Steerable Parallel Parameter Searches\n - by M. Faerman, A. Birnbaum, H. Casanova, F. Berman\n - Proceedings of the Grid Computing Workshop, Baltimore, 157--169, November 2002.\n - http://grail.sdsc.edu/projects/vi_itr/grid02.pdf -- 2001 - - Applying Scheduling and Tuning to On-line Parallel Tomography \n - by Shava Smallen, Henri Casanova, Francine Berman\n - in Proceedings of Supercomputing 2001\n - http://grail.sdsc.edu/papers/tomo_journal.ps.gz -- 2000 - - Heuristics for Scheduling Parameter Sweep applications in Grid environments\n - by Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov and Francine Berman\n - in Proceedings of the 9th Heterogeneous Computing workshop (HCW'2000), pp349-363.\n - http://navet.ics.hawaii.edu/~casanova/homepage/papers/hcw00_pst.pdf +\htmlinclude publis_intra_bib.html */ - -\li Optimal algorithms for scheduling divisible workloads on - heterogeneous systems\n - by Olivier Beaumont and Arnaud Legrand and Yves Robert\n - in Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS'03).\n - Preliminary version on ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-36.ps.gz - - -\li On-line Parallel Tomography\n - by Shava Smallen\n - Masters Thesis, UCSD, May 2001