1 /*! \page publis Reference publications about SimGrid
4 When citing SimGrid, the prefered reference paper is <i>SimGrid: a
5 Generic Framework for Large-Scale Distributed Experimentations</i>.
7 \li <b>SimGrid: a Generic Framework for Large-Scale Distributed
9 by <em>Henri Casanova, Arnaud Legrand and Martin Quinson</em>\n
10 Proceedings of the 10th IEEE International Conference on Computer
11 Modelling and Simulation (UKSIM/EUROSIM'08)\n
12 Distributed computing is a very broad and active research area
13 comprising fields such as cluster computing, computational
14 grids, desktop grids and peer-to-peer (P2P) systems.
15 Unfortunately, it is often impossible to obtain theoretical or
16 analytical results to compare the performance of algorithms
17 targeting such systems. One possibility is to conduct large
18 numbers of back-to-back experiments on real platforms. While
19 this is possible on tightly-coupled platforms, it is infeasible
20 on modern distributed platforms as experiments are labor-intensive
21 and results typically not reproducible. Consequently, one must
22 resort to simulations, which enable reproducible results and also
23 make it possible to explore wide ranges of platform and
24 application scenarios.\n
25 In this paper we describe the SimGrid framework, a
26 simulation-based framework for evaluating cluster, grid and P2P
27 algorithms and heuristics. This paper focuses on SimGrid v3, which
28 greatly improves on previous versions thanks to a novel and
29 validated modular simulation engine that achieves higher
30 simulation speed without hindering simulation accuracy. Also, two
31 new user interfaces were added to broaden the targeted research
32 community. After surveying existing tools and methodologies we
33 describe the key features and benefits of SimGrid.\n
34 http://www.loria.fr/~quinson/articles/SimGrid-uksim08.pdf
36 \section publis_others Other publications
38 A lot of other papers where published about SimGrid. The list is
39 splited in 3 pages (also accessible from the navbar on top of this page):
41 This section contains papers describing some sub-parts of SimGrid,
42 or references superseeded by the one given above.
43 - \ref publis_extern\n
44 SimGrid is used by an ever growing scientific community. This
45 section lists all the papers resulting of works in which the core
46 SimGrid team were not involved.
48 This section lists the paper co-signed by at least one of the core
49 team member, and using SimGrid as a tool (and not studying SimGrid
52 \section publis_count Amount of published papers using SimGrid results
56 <tr><td>Year</td><td>2000</td><td>2001</td><td>2002</td><td>2003</td><td>2004</td><td>2005</td><td>2006</td><td>2007</td>
58 <tr><td>Amount of papers external to the core team</td>
59 <td>-</td> <td>-</td> <td>-</td> <td>3</td> <td>6</td> <td>3</td> <td>8</td> <td>5</td>
61 <tr><td>Amount of papers co-signed by one team member</td>
62 <td>1</td> <td>1</td> <td>1</td> <td>2</td> <td>2</td> <td>-</td> <td>4</td> <td>4</td>
66 \page publis_core Other publications about the SimGrid framework
68 \li <b>Speed and Accuracy of Network Simulation in the SimGrid Framework</b>\n
69 by <em>K. Fujiwara, H. Casanova</em>\n
70 in Proceedings of the First International Workshop on Network Simulation Tools (NSTools), Nantes, France, October 2007.\n
71 http://navet.ics.hawaii.edu/~casanova/homepage/papers/fujiwara_nstool2007.pdf
73 \li <b>Cost and Accuracy of Packet-Level vs. Analytical Network Simulations: An Empirical Study</b>\n
74 by <em>K. Fujiwara</em>\n
75 <b>M.S. Thesis</b>, Dept. of Information and Computer Sciences, University of Hawai`i at Manoa, April 2007.\n
76 http://navet.ics.hawaii.edu/~casanova/homepage/theses/kayo_fujiwara_MS.pdf
78 \li <b>Gras: A Research & Development Framework for Grid and P2P
80 by <em>Martin Quinson</em>\n
81 <b>Best paper</b> of the 18th IASTED International Conference on
82 Parallel and Distributed Computing and Systems (PDCS 2006)\n
83 http://www.loria.fr/~quinson/articles/gras-iasted06.pdf
85 \li <b>The SimGrid Project - Simulation and Deployment of Distributed Applications</b>\n
86 by <em>A. Legrand, M. Quinson, K. Fujiwara, H. Casanova</em>\n
87 <b>POSTER</b> in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
89 <a href="http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf"><img src="poster_thumbnail.png" /></a>
91 http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf
93 \li <b>Scheduling Distributed Applications: the SimGrid Simulation Framework</b>\n
94 by <em>Henri Casanova and Arnaud Legrand and Loris Marchal</em>\n
95 Proceedings of the third IEEE International Symposium
96 on Cluster Computing and the Grid (CCGrid'03)\n
97 http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf
99 \li <b>A Network Model for Simulation of Grid Application</b>\n
100 by <em>Henri Casanova and Loris Marchal</em>\n
102 In this work we investigate network models that can be
103 potentially employed in the simulation of scheduling algorithms for
104 distributed computing applications. We seek to develop a model of TCP
105 communication which is both high-level and realistic. Previous research
106 works show that accurate and global modeling of wide-area networks, such
107 as the Internet, faces a number of challenging issues. However, some
108 global models of fairness and bandwidth-sharing exist, and can be link
109 withthe behavior of TCP. Using both previous results and simulation (with
110 NS), we attempt to understand the macroscopic behavior of
111 TCP communications. We then propose a global model of the network for the
112 Grid platform. We perform partial validation of this model in
113 simulation. The model leads to an algorithm for computing
114 bandwidth-sharing. This algorithm can then be implemented as part of Grid
115 application simulations. We provide such an implementation for the
116 SimGrid simulation toolkit.\n
117 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-40.ps.gz
120 \li <b>MetaSimGrid : Towards realistic scheduling simulation of
121 distributed applications</b>\n
122 by <em>Arnaud Legrand and Julien Lerouge</em>\n
123 Most scheduling problems are already hard on homogeneous
124 platforms, they become quite intractable in an heterogeneous
125 framework such as a metacomputing grid. In the best cases, a
126 guaranteed heuristic can be found, but most of the time, it is
127 not possible. Real experiments or simulations are often
128 involved to test or to compare heuristics. However, on a
129 distributed heterogeneous platform, such experiments are
130 technically difficult to drive, because of the genuine
131 instability of the platform. It is almost impossible to
132 guarantee that a platform which is not dedicated to the
133 experiment, will remain exactly the same between two tests,
134 thereby forbidding any meaningful comparison. Simulations are
135 then used to replace real experiments, so as to ensure the
136 reproducibility of measured data. A key issue is the
137 possibility to run the simulations against a realistic
138 environment. The main idea of trace-based simulation is to
139 record the platform parameters today, and to simulate the
140 algorithms tomorrow, against the recorded data: even though it
141 is not the current load of the platform, it is realistic,
142 because it represents a fair summary of what happened
143 previously. A good example of a trace-based simulation tool is
144 SimGrid, a toolkit providing a set of core abstractions and
145 functionalities that can be used to easily build simulators for
146 specific application domains and/or computing environment
147 topologies. Nevertheless, SimGrid lacks a number of convenient
148 features to craft simulations of a distributed application
149 where scheduling decisions are not taken by a single
150 process. Furthermore, modeling a complex platform by hand is
151 fastidious for a few hosts and is almost impossible for a real
152 grid. This report is a survey on simulation for scheduling
153 evaluation purposes and present MetaSimGrid, a simulator built
155 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-28.ps.gz
157 \li <b>SimGrid: A Toolkit for the Simulation of Application
159 by <em>Henri Casanova</em>\n
160 Advances in hardware and software technologies have made it
161 possible to deploy parallel applications over increasingly large
162 sets of distributed resources. Consequently, the study of
163 scheduling algorithms for such applications has been an active area
164 of research. Given the nature of most scheduling problems one must
165 resort to simulation to effectively evaluate and compare their
166 efficacy over a wide range of scenarios. It has thus become
167 necessary to simulate those algorithms for increasingly complex
168 distributed, dynamic, heterogeneous environments. In this paper we
169 present SimGrid, a simulation toolkit for the study of scheduling
170 algorithms for distributed application. This paper gives the main
171 concepts and models behind SimGrid, describes its API and
172 highlights current implementation issues. We also give some
173 experimental results and describe work that builds on SimGrid's
175 http://doi.ieeecomputersociety.org/10.1109/CCGRID.2001.923223
177 \page publis_extern Papers that use SimGrid-generated results (not counting our owns)
179 This list is a selection of articles. We list only papers written by people
180 external to the development group, but we also use our tool ourselves (see
184 - <b>Reactive Grid Scheduling of DAG Applications.</b>\n by
185 <em>I. Hernandez and M. Cole (UK)</em>. In Parallel and Distributed Computing and Networks, 2007.\n
186 http://www.actapress.com/PaperInfo.aspx?PaperID=29625
187 - <b>Dynamic Scheduling of Multi-Processor Tasks on Clusters of Clusters</b>\n
188 by <em>S. Hunold, T. Rauber and G. Rünger</em>.\n
189 Proceedings of the Sixth International Workshop on Algorithms,
190 Models and Tools for Parallel Computing on Heterogeneous Networks
191 (Heteropar'07), Austin, TX, September 2007.
192 - <b>Scheduling Δ-Critical Tasks in Mixed-Parallel Applications on a National Grid</b>\n
193 by <em>Frédéric Suter</em>.\n
194 In 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, September 2007.
195 - <b>Brokering strategies in computational grids using stochastic
196 prediction models.</b>\n by <em>Vandy Berten and Bruno
197 Gaujal</em>. In Parallel Computing, vol. 33(4-5): 238-249, 2007.\n
198 http://dev.ulb.ac.be/sched/articles/PARCO.pdf
199 - <b>Managing Scheduling and Replication in the LHC Grid.</b>\n by
200 <em>Thomas Ferrandiz and Vania Marangozova</em>. In CoreGrid
201 Workshop on middleware, 2007.\n
204 - <b>Simbatch: an API for simulating and predicting the performance of parallel resources and batch systems.</b>\n
205 by <em>Jean-Sébastien Gay and Yves Caniou</em>\n
206 INRIA Research Report 6040, November 2006.\n
207 https://hal.inria.fr/inria-00115880
208 - <b>Simbatch : une API pour la simulation et la prédiction de performances de systèmes batch</b>\n
209 by <em>Jean-Sébastien Gay and Yves Caniou</em>.\n
210 In 17ème Rencontres Francophones du Parallélisme, des Architectures et des Systèmes, RenPar'17.\n
211 October 4-6, Perpignan, France
212 - <b>Metascheduling Multiple Resource Types using the MMKP</b>\n
213 by <em>D. Vanderster, N. Dimopoulos, R. Sobie</em>\n
214 7th IEEE/ACM International Conference on Grid Computing\n
215 Barcelona, September 28th-29th 2006
216 - <b>Master-Slave Tasking on Asymmetric Networks</b>\n
217 by <em>Cyril Banino-Rokkones, Olivier Beaumont and Lasse Natvig</em>.\n
218 In Proceedings of 12th International Euro-Par Conference, Euro-Par 2006.\n
219 August 29 - September 1, Pages 167--176, Dresden, Germany.
220 - <b>Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms</b>\n
221 by <em>Tchimou N'Takpé and Frédéric Suter</em>\n
222 Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS)\n
223 Minneapolis, MN, July 12-15, 2006.
224 - <b>Sensitivity Analysis of Knapsack-based Task Scheduling on the Grid</b>\n
225 by <em>D.C. Vanderster and N.J. Dimopoulos</em>.\n
226 In Proceedings of The 20th ACM International Conference on Supercomputing\n
227 Cairns, Australia, June 28-July 1, 2006.\n
228 http://portal.acm.org/citation.cfm?id=1183401.1183446&coll=GUIDE&dl=%23url.coll
229 - <b>Hierarchical Scheduling of Independent Tasks with Shared Files</b>\n
230 by <em>H. Senger, F. Silva, W. Nascimento</em>.\n
231 Proceedings of the Sixth IEEE International Symposium on Cluster
232 Computing and the Grid Workshop (CCGRIDW'06)\n
233 Singapore, 16-19 May 2006.\n
234 http://www.unisantos.br/mestrado/informatica/hermes/File/senger-HierarchicalScheduling-Workshop-TB120.pdf
235 - <b>Evaluation of Knapsack-based Scheduling using the NPACI JOBLOG</b>\n
236 by <em>D. Vanderster, N. Dimopoulos, R. Parra-Hernandez and R. Sobie</em>.\n
237 20th International Symposium on High-Performance Computing in an
238 Advanced Collaborative Environment (HPCS'06)\n
239 St. John's, Newfoundland, Canada, 14-17 May 2006\n
240 http://doi.ieeecomputersociety.org/10.1109/HPCS.2006.23
243 - <b>On Dynamic Resource Management Mechanism using Control
244 Theoretic Approach for Wide-Area Grid Computing</b>\n
245 by <em>Hiroyuki Ohsaki, Soushi Watanabe, and Makoto Imase</em>\n
246 in Proceedings of IEEE Conference on Control Applications (CCA 2005), Aug. 2005.\n
247 http://www.ispl.jp/~oosaki/papers/Ohsaki05_CCA.pdf
248 - <b>Evaluation of Meta-scheduler Architectures and Task Assignment Policies for
249 high Throughput Computing</b>\n
250 by <em>Eddy Caron, Vincent Garonne and Andrei Tsaregorodtsev</em>\n
251 Proceedings of 4th Internationnal Symposium on Parallel and
252 Distributed Computing Job Scheduling Strategies for Parallel
253 Processing (ISPDC'05), July 2005.\n
254 http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2005/RR2005-27.pdf
255 - <b>Algorithmes de redistribution de données pour anneaux de processeurs hétérogènes</b>\n
256 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
257 In 16ième Rencontres Francophones du Parallélisme des Architectures et des Systèmes, Le Croisic, France, 6-8 avril 2005.\n
258 http://www.polytech.unice.fr/~hrenard/recherche/Renpar16.ps
260 - <b>Deadline Scheduling with Priority for Client-Server Systems on the Grid</b>\n
261 by <em>Eddy Caron, PK Chouhan, Frédéric Desprez</em>\n
262 in IEEE International Conference On Grid Computing. Super Computing 2004, oct 2004.
263 - <b>Efficient Scheduling Heuristics for GridRPC Systems</b>\n
264 by <em>Yves Caniou and Emmanuel Jeannot.</em>\n
265 in IEEE QoS and Dynamic System workshop (QDS) of International Conference
266 on Parallel and Distributed Systems (ICPADS), New-Port Beach California, USA,
267 pages 621-630, July 2004\n
268 http://graal.ens-lyon.fr/~ycaniou/QDS04.ps
269 - <b>Exploiting Replication and Data Reuse to Efficiently Schedule
270 Data-intensive Applications on Grids</b>\n
271 by <em> E. Santos-Neto, W. Cirne, F. Brasileiro, A. Lima.</em>\n
272 Proceedings of 10th Job Scheduling Strategies for Parallel Processing, June 2004.\n
273 http://www.lsd.ufcg.edu.br/~elizeu/articles/jsspp.v6.pdf
274 - <b>Resource Management and Knapsack Formulations on the Grid</b>\n
275 by <em>R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos</em>\n
276 Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)\n
277 http://doi.ieeecomputersociety.org/10.1109/GRID.2004.54
278 - <b>Scheduling BoT Applications in Grids using a Slave Oriented Adaptive
280 by <em>T. Ferreto, C. A. F. De Rose and C. Northfleet.</em>\n
281 Second International Symposium on Parallel and Distributed Processing
282 and Applications (ISPA), 2004, Hong Kong. Published in Lecture Notes in
283 Computer Science (LNCS), Volume 3358, by Springer-Verlag. p. 392-398.
284 - <b>Data redistribution algorithms for heterogeneous processor rings</b>\n
285 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
286 In International Conference on High Performance Computing HiPC'2004\n
287 http://www.polytech.unice.fr/~hrenard/recherche/Hipc.pdf
289 - <b>Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments</b>\n
290 by <em>Wensheng Yao, Xiao Xie and Jinyuan You</em>\n
291 in Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003 (LNCS)\n
292 http://www.chinagrid.edu.cn/chinagrid/download/GCC2003/pdf/266.pdf
293 - <b>New Dynamic Heuristics in the Client-Agent-Server Model</b>\n
294 by <em>Yves Caniou and Emmanuel Jeannot</em>\n
295 in IEEE 13th Heteregeneous Computing Workshop - HCW'03, Nice, France, April 2003.\n
296 http://graal.ens-lyon.fr/~ycaniou/HCW03.ps
297 - <b>A Hierarchical Resource Reservation Algorithm for Network Enabled Servers</b>\n
298 by <em>Eddy Caron, Frédéric Desprez, Franck Petit, V. Villain</em>\n
299 in the 17th International Parallel and Distributed Processing Symposium -- IPDPS'03, Nice - France, April 2003.
301 \page publis_intra Our own papers that use SimGrid-generated results
303 This list is a selection of the articles we have written that used results
304 generated by SimGrid.
307 - <b>Assessing the Quality of Automatically Built Network Representations</b>\n
308 by <em>Lionel Eyraud-Dubois and Martin Quinson</em>\n
309 In Seventh IEEE International Symposium on Cluster Computing and
310 the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil.
311 - <b>A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms</b>\n
312 by <em>Tchimou N'takpé, Frédéric Suter, and Henri Casanova</em>\n
313 In 6th International Symposium on Parallel and Distributed Computing, Hagenberg, Austria, July 2007.
314 - <b>A First Step Towards Automatically Building Network Representations</b>\n
315 by <em>Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quinson and Frédéric Vivien</em>\n
316 In 12th International Euro-Par Conference 28-31 August, Rennes, France.
317 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
318 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
319 In IEEE Trans. Parallel Distributed Systems, 2007.
321 - <b>On the Harmfulness of Redundant Batch Requests</b>\n
322 by <em>H. Casanova</em>\n
323 Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
324 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hpdc_2006.pdf
325 - <b>An evaluation of Job Scheduling Strategies for Divisible Loads on Grid Platforms</b>\n
326 by <em>Y. Cardinale, H. Casanova</em>\n
327 in Proceedings of the High Performance Computing & Simulation Conference (HPC&S'06), Bonn, Germany, May 2006.\n
328 http://navet.ics.hawaii.edu/~casanova/homepage/papers/cardinale_2006.pdf
329 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
330 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
331 International Parallel and Distributed Processing Symposium IPDPS'2006, 2006
332 - <b>Interference-Aware Scheduling</b>\n
333 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante, S. Nandy</em>\n
334 International Journal of High Performance Computing Applications (IJHPCA).\n
335 http://navet.ics.hawaii.edu/~casanova/homepage/papers/kreaseck_ijhpca_2005.pdf
337 - <b>From Heterogeneous Task Scheduling to Heterogeneous Mixed Data and Task Parallel Scheduling</b>\n
338 by <em>F. Suter, V. Boudet, F. Desprez, H. Casanova</em>\n
339 Proceedings of Europar, 230--237, (LCNS volume 3149), Pisa, Italy, August 2004.
340 - <b>On the Interference of Communication on Computation</b>\n
341 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante</em>\n
342 Proceedings of the workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Santa Fe, April 2004.\n
343 http://navet.ics.hawaii.edu/~casanova/homepage/papers/k_pmeo2004.pdf
346 - <b>RUMR: Robust Scheduling for Divisible Workloads</b>\n
347 by <em>Y. Yang, H. Casanova</em>\n
348 Proceedings of the 12th IEEE Symposium on High Performance and Distributed Computing (HPDC-12), Seattle, June 2003.\n
349 http://navet.ics.hawaii.edu/~casanova/homepage/papers/yang_hpdc2003.pdf
350 - <b>Resource Allocation Strategies for Guided Parameter Space Searches</b>\n
351 by <em>M. Faerman, A. Birnbaum, F. Berman, H. Casanova</em>\n
352 International Journal of High Performance Computing Applications (IJHPCA), 17(4), 383--402, 2003.\n
353 http://grail.sdsc.edu/papers/faerman_ijhpca04.pdf
355 - <b>Resource Allocation for Steerable Parallel Parameter Searches</b>\n
356 by <em>M. Faerman, A. Birnbaum, H. Casanova, F. Berman</em>\n
357 Proceedings of the Grid Computing Workshop, Baltimore, 157--169, November 2002.\n
358 http://grail.sdsc.edu/projects/vi_itr/grid02.pdf
360 - <b>Applying Scheduling and Tuning to On-line Parallel Tomography </b>\n
361 by <em>Shava Smallen, Henri Casanova, Francine Berman</em>\n
362 in Proceedings of Supercomputing 2001\n
363 http://grail.sdsc.edu/papers/tomo_journal.ps.gz
365 - <b>Heuristics for Scheduling Parameter Sweep applications in Grid environments</b>\n
366 by <em>Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov and Francine Berman</em>\n
367 in Proceedings of the 9th Heterogeneous Computing workshop (HCW'2000), pp349-363.\n
368 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hcw00_pst.pdf
373 \li <b>Optimal algorithms for scheduling divisible workloads on
374 heterogeneous systems</b>\n
375 by <em>Olivier Beaumont and Arnaud Legrand and Yves Robert</em>\n
376 in Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS'03).\n
377 Preliminary version on ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-36.ps.gz
380 \li <b>On-line Parallel Tomography</b>\n
381 by <em>Shava Smallen</em>\n
382 Masters Thesis, UCSD, May 2001