1 /*! \page publis Reference publications about SimGrid
4 When citing SimGrid, the prefered reference paper is <i>Scheduling
5 Distributed Applications: the SimGrid Simulation Framework</i>, even if it's
6 a bit old now. We are actively working on improving this.
8 \li <b>Scheduling Distributed Applications: the
9 SimGrid Simulation Framework</b>\n
10 by <em>Henri Casanova and Arnaud Legrand and Loris Marchal</em>\n
11 Proceedings of the third IEEE International Symposium
12 on Cluster Computing and the Grid (CCGrid'03)\n
13 Since the advent of distributed computer systems an active field
14 of research has been the investigation of scheduling strategies
15 for parallel applications. The common approach is to employ
16 scheduling heuristics that approximate an optimal
17 schedule. Unfortunately, it is often impossible to obtain
18 analytical results to compare the efficacy of these heuristics.
19 One possibility is to conducts large numbers of back-to-back
20 experiments on real platforms. While this is possible on
21 tightly-coupled platforms, it is infeasible on modern distributed
22 platforms (i.e. Grids) as it is labor-intensive and does not
23 enable repeatable results. The solution is to resort to
24 simulations. Simulations not only enables repeatable results but
25 also make it possible to explore wide ranges of platform and
26 application scenarios.\n
27 In this paper we present the SimGrid framework which enables the
28 simulation of distributed applications in distributed computing
29 environments for the specific purpose of developing and evaluating
30 scheduling algorithms. This paper focuses on SimGrid v2, which
31 greatly improves on the first version of the software with more
32 realistic network models and topologies. SimGrid v2 also enables
33 the simulation of distributed scheduling agents, which has become
34 critical for current scheduling research in large-scale platforms.
35 After describing and validating these features, we present a case
36 study by which we demonstrate the usefulness of SimGrid for
37 conducting scheduling research.\n
38 http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf
40 Previous publication do not cover the GRAS part of the framework. So, if you
41 want to cite GRAS, please use this publication instead:
43 \li <b>Gras: A Research & Development Framework for Grid and P2P
45 by <em>Martin Quinson</em>\n
46 <b>Best paper</b> of the 18th IASTED International Conference on
47 Parallel and Distributed Computing and Systems (PDCS 2006)\n
48 http://www.loria.fr/~quinson/articles/gras-iasted06.pdf
50 \section publis_others Other publications
52 A lot of other papers where published about SimGrid. The list is
53 splited in 3 pages (also accessible from the navbar on top of this page):
55 This section contains papers describing some sub-parts of SimGrid,
56 or references superseeded by the one given above.
57 - \ref publis_extern\n
58 SimGrid is used by an ever growing scientific community. This
59 section lists all the papers resulting of works in which the core
60 SimGrid team were not involved.
62 This section lists the paper co-signed by at least one of the core
63 team member, and using SimGrid as a tool (and not studying SimGrid
66 \section publis_count Amount of published papers using SimGrid results
70 <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></tr>
71 <tr><td>Amount of papers external to the core team</td>
72 <td>-</td> <td>-</td> <td>-</td> <td>3</td> <td>6</td> <td>3</td> <td>8</td> <td>3</td></tr>
73 <tr><td>Amount of papers co-signed by one team member</td>
74 <td>1</td> <td>1</td> <td>1</td> <td>2</td> <td>2</td> <td>-</td> <td>4</td> <td>4</td></tr>
77 \page publis_core Other publications about the SimGrid framework
79 \li <b>Speed and Accuracy of Network Simulation in the SimGrid Framework</b>\n
80 by <em>K. Fujiwara, H. Casanova</em>\n
81 in Proceedings of the First International Workshop on Network Simulation Tools (NSTools), Nantes, France, October 2007.\n
82 http://navet.ics.hawaii.edu/~casanova/homepage/papers/fujiwara_nstool2007.pdf
84 \li <b>Cost and Accuracy of Packet-Level vs. Analytical Network Simulations: An Empirical Study</b>\n
85 by <em>K. Fujiwara</em>\n
86 <b>M.S. Thesis</b>, Dept. of Information and Computer Sciences, University of Hawai`i at Manoa, April 2007.\n
87 http://navet.ics.hawaii.edu/~casanova/homepage/theses/kayo_fujiwara_MS.pdf
89 \li <b>The SimGrid Project - Simulation and Deployment of Distributed Applications</b>\n
90 by <em>A. Legrand, M. Quinson, K. Fujiwara, H. Casanova</em>\n
91 <b>POSTER</b> in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
93 <a href="http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf"><img src="poster_thumbnail.png" /></a>
95 http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf
97 \li <b>A Network Model for Simulation of Grid Application</b>\n
98 by <em>Henri Casanova and Loris Marchal</em>\n
100 In this work we investigate network models that can be
101 potentially employed in the simulation of scheduling algorithms for
102 distributed computing applications. We seek to develop a model of TCP
103 communication which is both high-level and realistic. Previous research
104 works show that accurate and global modeling of wide-area networks, such
105 as the Internet, faces a number of challenging issues. However, some
106 global models of fairness and bandwidth-sharing exist, and can be link
107 withthe behavior of TCP. Using both previous results and simulation (with
108 NS), we attempt to understand the macroscopic behavior of
109 TCP communications. We then propose a global model of the network for the
110 Grid platform. We perform partial validation of this model in
111 simulation. The model leads to an algorithm for computing
112 bandwidth-sharing. This algorithm can then be implemented as part of Grid
113 application simulations. We provide such an implementation for the
114 SimGrid simulation toolkit.\n
115 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-40.ps.gz
118 \li <b>MetaSimGrid : Towards realistic scheduling simulation of
119 distributed applications</b>\n
120 by <em>Arnaud Legrand and Julien Lerouge</em>\n
121 Most scheduling problems are already hard on homogeneous
122 platforms, they become quite intractable in an heterogeneous
123 framework such as a metacomputing grid. In the best cases, a
124 guaranteed heuristic can be found, but most of the time, it is
125 not possible. Real experiments or simulations are often
126 involved to test or to compare heuristics. However, on a
127 distributed heterogeneous platform, such experiments are
128 technically difficult to drive, because of the genuine
129 instability of the platform. It is almost impossible to
130 guarantee that a platform which is not dedicated to the
131 experiment, will remain exactly the same between two tests,
132 thereby forbidding any meaningful comparison. Simulations are
133 then used to replace real experiments, so as to ensure the
134 reproducibility of measured data. A key issue is the
135 possibility to run the simulations against a realistic
136 environment. The main idea of trace-based simulation is to
137 record the platform parameters today, and to simulate the
138 algorithms tomorrow, against the recorded data: even though it
139 is not the current load of the platform, it is realistic,
140 because it represents a fair summary of what happened
141 previously. A good example of a trace-based simulation tool is
142 SimGrid, a toolkit providing a set of core abstractions and
143 functionalities that can be used to easily build simulators for
144 specific application domains and/or computing environment
145 topologies. Nevertheless, SimGrid lacks a number of convenient
146 features to craft simulations of a distributed application
147 where scheduling decisions are not taken by a single
148 process. Furthermore, modeling a complex platform by hand is
149 fastidious for a few hosts and is almost impossible for a real
150 grid. This report is a survey on simulation for scheduling
151 evaluation purposes and present MetaSimGrid, a simulator built
153 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-28.ps.gz
155 \li <b>SimGrid: A Toolkit for the Simulation of Application
157 by <em>Henri Casanova</em>\n
158 Advances in hardware and software technologies have made it
159 possible to deploy parallel applications over increasingly large
160 sets of distributed resources. Consequently, the study of
161 scheduling algorithms for such applications has been an active area
162 of research. Given the nature of most scheduling problems one must
163 resort to simulation to effectively evaluate and compare their
164 efficacy over a wide range of scenarios. It has thus become
165 necessary to simulate those algorithms for increasingly complex
166 distributed, dynamic, heterogeneous environments. In this paper we
167 present SimGrid, a simulation toolkit for the study of scheduling
168 algorithms for distributed application. This paper gives the main
169 concepts and models behind SimGrid, describes its API and
170 highlights current implementation issues. We also give some
171 experimental results and describe work that builds on SimGrid's
173 http://grail.sdsc.edu/papers/simgrid_ccgrid01.ps.gz
175 \page publis_extern Papers that use SimGrid-generated results (not counting our owns)
177 This list is a selection of articles. We list only papers written by people
178 external to the development group, but we also use our tool ourselves (see
182 - <b>Scheduling Δ-Critical Tasks in Mixed-Parallel Applications on a National Grid</b>\n
183 by <em>Frédéric Suter</em>.\n
184 In 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, September 2007.
185 - <b>Brokering strategies in computational grids using stochastic
186 prediction models.</b>\n by <em>Vandy Berten and Bruno
187 Gaujal</em>. In Parallel Computing, vol. 33(4-5): 238-249, 2007.\n
188 http://dev.ulb.ac.be/sched/articles/PARCO.pdf
189 - <b>Managing Scheduling and Replication in the LHC Grid .</b>\n by
190 <em>Thomas Ferrandiz and Vania Marangozova</em>. In CoreGrid
191 Workshop on middleware, 2007.\n
194 - <b>Simbatch: an API for simulating and predicting the performance of parallel resources and batch systems.</b>\n
195 INRIA Research Report 6040, November 2006.\n
196 https://hal.inria.fr/inria-00115880
197 - <b>Simbatch : une API pour la simulation et la prédiction de performances de systèmes batch</b>\n
198 by <em>Jean-Sébastien Gay and Yves Caniou</em>.\n
199 In 17ème Rencontres Francophones du Parallélisme, des Architectures et des Systèmes, RenPar'17.\n
200 October 4-6, Perpignan, France
201 - <b>Metascheduling Multiple Resource Types using the MMKP</b>\n
202 by <em>D. Vanderster, N. Dimopoulos, R. Sobie</em>\n
203 7th IEEE/ACM International Conference on Grid Computing\n
204 Barcelona, September 28th-29th 2006
205 - <b>Master-Slave Tasking on Asymmetric Networks</b>\n
206 by <em>Cyril Banino-Rokkones, Olivier Beaumont and Lasse Natvig</em>.\n
207 In Proceedings of 12th International Euro-Par Conference, Euro-Par 2006.\n
208 August 29 - September 1, Pages 167--176, Dresden, Germany.
209 - <b>Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms</b>\n
210 by <em>Tchimou N'Takpé and Frédéric Suter</em>\n
211 Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS)\n
212 Minneapolis, MN, July 12-15, 2006.
213 - <b>Sensitivity Analysis of Knapsack-based Task Scheduling on the Grid</b>\n
214 by <em>D.C. Vanderster and N.J. Dimopoulos</em>.\n
215 In Proceedings of The 20th ACM International Conference on Supercomputing\n
216 Cairns, Australia, June 28-July 1, 2006.\n
217 http://portal.acm.org/citation.cfm?id=1183401.1183446&coll=GUIDE&dl=%23url.coll
218 - <b>Hierarchical Scheduling of Independent Tasks with Shared Files</b>\n
219 by <em>H. Senger, F. Silva, W. Nascimento</em>.\n
220 Proceedings of the Sixth IEEE International Symposium on Cluster
221 Computing and the Grid Workshop (CCGRIDW'06)\n
222 Singapore, 16-19 May 2006.\n
223 http://www.unisantos.br/mestrado/informatica/hermes/File/senger-HierarchicalScheduling-Workshop-TB120.pdf
224 - <b>Evaluation of Knapsack-based Scheduling using the NPACI JOBLOG</b>\n
225 by <em>D. Vanderster, N. Dimopoulos, R. Parra-Hernandez and R. Sobie</em>.\n
226 20th International Symposium on High-Performance Computing in an
227 Advanced Collaborative Environment (HPCS'06)\n
228 St. John's, Newfoundland, Canada, 14-17 May 2006\n
229 http://doi.ieeecomputersociety.org/10.1109/HPCS.2006.23
232 - <b>On Dynamic Resource Management Mechanism using Control
233 Theoretic Approach for Wide-Area Grid Computing</b>\n
234 by <em>Hiroyuki Ohsaki, Soushi Watanabe, and Makoto Imase</em>\n
235 in Proceedings of IEEE Conference on Control Applications (CCA 2005), Aug. 2005.\n
236 http://www.ispl.jp/~oosaki/papers/Ohsaki05_CCA.pdf
237 - <b>Evaluation of Meta-scheduler Architectures and Task Assignment Policies for
238 high Throughput Computing</b>\n
239 by <em>Eddy Caron, Vincent Garonne and Andrei Tsaregorodtsev</em>\n
240 Proceedings of 4th Internationnal Symposium on Parallel and
241 Distributed Computing Job Scheduling Strategies for Parallel
242 Processing (ISPDC'05), July 2005.\n
243 http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2005/RR2005-27.pdf
244 - <b>Algorithmes de redistribution de données pour anneaux de processeurs hétérogènes</b>\n
245 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
246 In 16ième Rencontres Francophones du Parallélisme des Architectures et des Systèmes, Le Croisic, France, 6-8 avril 2005.\n
247 http://www.polytech.unice.fr/~hrenard/recherche/Renpar16.ps
249 - <b>Deadline Scheduling with Priority for Client-Server Systems on the Grid</b>\n
250 by <em>E Caron, PK Chouhan, F Desprez</em>\n
251 in IEEE International Conference On Grid Computing. Super Computing 2004, oct 2004.
252 - <b>Efficient Scheduling Heuristics for GridRPC Systems</b>\n
253 by <em>Y. Caniou and E. Jeannot.</em>\n
254 in IEEE QoS and Dynamic System workshop (QDS) of International Conference
255 on Parallel and Distributed Systems (ICPADS), New-Port Beach California, USA,
256 pages 621-630, July 2004\n
257 http://graal.ens-lyon.fr/~ycaniou/QDS04.ps
258 - <b>Exploiting Replication and Data Reuse to Efficiently Schedule
259 Data-intensive Applications on Grids</b>\n
260 by <em> E. Santos-Neto, W. Cirne, F. Brasileiro, A. Lima.</em>\n
261 Proceedings of 10th Job Scheduling Strategies for Parallel Processing, June 2004.\n
262 http://www.lsd.ufcg.edu.br/~elizeu/articles/jsspp.v6.pdf
263 - <b>Resource Management and Knapsack Formulations on the Grid</b>\n
264 by <em>R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos</em>\n
265 Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)\n
266 http://doi.ieeecomputersociety.org/10.1109/GRID.2004.54
267 - <b>Scheduling BoT Applications in Grids using a Slave Oriented Adaptive
269 by <em>T. Ferreto, C. A. F. De Rose and C. Northfleet.</em>\n
270 Second International Symposium on Parallel and Distributed Processing
271 and Applications (ISPA), 2004, Hong Kong. Published in Lecture Notes in
272 Computer Science (LNCS), Volume 3358, by Springer-Verlag. p. 392-398.
273 - <b>Data redistribution algorithms for heterogeneous processor rings</b>\n
274 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
275 In International Conference on High Performance Computing HiPC'2004\n
276 http://www.polytech.unice.fr/~hrenard/recherche/Hipc.pdf
278 - <b>Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments</b>\n
279 by <em>Wensheng Yao, Xiao Xie and Jinyuan You</em>\n
280 in Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003 (LNCS)\n
281 http://www.chinagrid.edu.cn/chinagrid/download/GCC2003/pdf/266.pdf
282 - <b>New Dynamic Heuristics in the Client-Agent-Server Model</b>\n
283 by <em>Y. Caniou and E. Jeannot</em>\n
284 in IEEE 13th Heteregeneous Computing Workshop - HCW'03, Nice, France, April 2003.\n
285 http://graal.ens-lyon.fr/~ycaniou/HCW03.ps
286 - <b>A Hierarchical Resource Reservation Algorithm for Network Enabled Servers</b>\n
287 by <em>E. Caron, F. Desprez, F. Petit, V. Villain</em>\n
288 in the 17th International Parallel and Distributed Processing Symposium -- IPDPS'03, Nice - France, April 2003.
290 \page publis_intra Our own papers that use SimGrid-generated results
292 This list is a selection of the articles we have written that used results
293 generated by SimGrid.
296 - <b>Assessing the Quality of Automatically Built Network Representations</b>\n
297 by <em>Lionel Eyraud-Dubois and Martin Quinson</em>\n
298 In Seventh IEEE International Symposium on Cluster Computing and
299 the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil.
300 - <b>A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms</b>\n
301 by <em>T. N'takpé, F. Suter, and Henri Casanova</em>\n
302 In 6th International Symposium on Parallel and Distributed Computing, Hagenberg, Austria, July 2007.
303 - <b>A First Step Towards Automatically Building Network Representations</b>\n
304 by <em>Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quinson and Frédéric Vivien</em>\n
305 In 12th International Euro-Par Conference 28-31 August, Rennes, France.
306 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
307 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
308 In IEEE Trans. Parallel Distributed Systems, 2007.
310 - <b>On the Harmfulness of Redundant Batch Requests</b>\n
311 by <em>H. Casanova</em>\n
312 Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
313 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hpdc_2006.pdf
314 - <b>An evaluation of Job Scheduling Strategies for Divisible Loads on Grid Platforms</b>\n
315 by <em>Y. Cardinale, H. Casanova</em>\n
316 in Proceedings of the High Performance Computing & Simulation Conference (HPC&S'06), Bonn, Germany, May 2006.\n
317 http://navet.ics.hawaii.edu/~casanova/homepage/papers/cardinale_2006.pdf
318 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
319 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
320 International Parallel and Distributed Processing Symposium IPDPS'2006, 2006
321 - <b>Interference-Aware Scheduling</b>\n
322 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante, S. Nandy</em>\n
323 International Journal of High Performance Computing Applications (IJHPCA).\n
324 http://navet.ics.hawaii.edu/~casanova/homepage/papers/kreaseck_ijhpca_2005.pdf
326 - <b>From Heterogeneous Task Scheduling to Heterogeneous Mixed Data and Task Parallel Scheduling</b>\n
327 by <em>F. Suter, V. Boudet, F. Desprez, H. Casanova</em>\n
328 Proceedings of Europar, 230--237, (LCNS volume 3149), Pisa, Italy, August 2004.
329 - <b>On the Interference of Communication on Computation</b>\n
330 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante</em>\n
331 Proceedings of the workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Santa Fe, April 2004.\n
332 http://navet.ics.hawaii.edu/~casanova/homepage/papers/k_pmeo2004.pdf
335 - <b>RUMR: Robust Scheduling for Divisible Workloads</b>\n
336 by <em>Y. Yang, H. Casanova</em>\n
337 Proceedings of the 12th IEEE Symposium on High Performance and Distributed Computing (HPDC-12), Seattle, June 2003.\n
338 http://navet.ics.hawaii.edu/~casanova/homepage/papers/yang_hpdc2003.pdf
339 - <b>Resource Allocation Strategies for Guided Parameter Space Searches</b>\n
340 by <em>M. Faerman, A. Birnbaum, F. Berman, H. Casanova</em>\n
341 International Journal of High Performance Computing Applications (IJHPCA), 17(4), 383--402, 2003.\n
342 http://grail.sdsc.edu/papers/faerman_ijhpca04.pdf
344 - <b>Resource Allocation for Steerable Parallel Parameter Searches</b>\n
345 by <em>M. Faerman, A. Birnbaum, H. Casanova, F. Berman</em>\n
346 Proceedings of the Grid Computing Workshop, Baltimore, 157--169, November 2002.\n
347 http://grail.sdsc.edu/projects/vi_itr/grid02.pdf
349 - <b>Applying Scheduling and Tuning to On-line Parallel Tomography </b>\n
350 by <em>Shava Smallen, Henri Casanova, Francine Berman</em>\n
351 in Proceedings of Supercomputing 2001\n
352 http://grail.sdsc.edu/papers/tomo_journal.ps.gz
354 - <b>Heuristics for Scheduling Parameter Sweep applications in Grid environments</b>\n
355 by <em>Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov and Francine Berman</em>\n
356 in Proceedings of the 9th Heterogeneous Computing workshop (HCW'2000), pp349-363.\n
357 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hcw00_pst.pdf
362 \li <b>Optimal algorithms for scheduling divisible workloads on
363 heterogeneous systems</b>\n
364 by <em>Olivier Beaumont and Arnaud Legrand and Yves Robert</em>\n
365 in Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS'03).\n
366 Preliminary version on ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-36.ps.gz
369 \li <b>On-line Parallel Tomography</b>\n
370 by <em>Shava Smallen</em>\n
371 Masters Thesis, UCSD, May 2001