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
68 <tr><td>Year</td><td>external</td><td>internal</td></tr>
69 <tr><td>2007</td><td>3</td><td>3</td></tr>
70 <tr><td>2006</td><td>8</td><td>3</td></tr>
71 <tr><td>2005</td><td>2</td><td>-</td></tr>
72 <tr><td>2004</td><td>5</td><td>2</td></tr>
73 <tr><td>2003</td><td>3</td><td>2</td></tr>
74 <tr><td>2002</td><td>-</td><td>1</td></tr>
75 <tr><td>2001</td><td>-</td><td>1</td></tr>
76 <tr><td>2000</td><td>-</td><td>1</td></tr>
79 \page publis_core Other publications about the SimGrid framework
81 \li <b>Speed and Accuracy of Network Simulation in the SimGrid Framework</b>\n
82 by <em>K. Fujiwara, H. Casanova</em>\n
83 in Proceedings of the First International Workshop on Network Simulation Tools (NSTools), Nantes, France, October 2007.\n
84 http://navet.ics.hawaii.edu/~casanova/homepage/papers/fujiwara_nstool2007.pdf
86 \li <b>Cost and Accuracy of Packet-Level vs. Analytical Network Simulations: An Empirical Study</b>\n
87 by <em>K. Fujiwara</em>\n
88 <b>M.S. Thesis</b>, Dept. of Information and Computer Sciences, University of Hawai`i at Manoa, April 2007.\n
89 http://navet.ics.hawaii.edu/~casanova/homepage/theses/kayo_fujiwara_MS.pdf
91 \li <b>The SimGrid Project - Simulation and Deployment of Distributed Applications</b>\n
92 by <em>A. Legrand, M. Quinson, K. Fujiwara, H. Casanova</em>\n
93 <b>POSTER</b> in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
95 <a href="http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf"><img src="poster_thumbnail.png" /></a>
97 http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.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://grail.sdsc.edu/papers/simgrid_ccgrid01.ps.gz
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>Scheduling Δ-Critical Tasks in Mixed-Parallel Applications on a National Grid</b>\n
185 by <em>Frédéric Suter</em>.\n
186 In 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, September 2007.
187 - <b>Brokering strategies in computational grids using stochastic
188 prediction models.</b>\n by <em>Vandy Berten and Bruno
189 Gaujal</em>. In Parallel Computing, vol. 33(4-5): 238-249, 2007.\n
190 http://dev.ulb.ac.be/sched/articles/PARCO.pdf
191 - <b>Managing Scheduling and Replication in the LHC Grid .</b>\n by
192 <em>Thomas Ferrandiz and Vania Marangozova</em>. In CoreGrid
193 Workshop on middleware, 2007.\n
196 - <b>Simbatch: an API for simulating and predicting the performance of parallel resources and batch systems.</b>\n
197 INRIA Research Report 6040, November 2006.\n
198 https://hal.inria.fr/inria-00115880
199 - <b>Simbatch : une API pour la simulation et la prédiction de performances de systèmes batch</b>\n
200 by <em>Jean-Sébastien Gay and Yves Caniou</em>.\n
201 In 17ème Rencontres Francophones du Parallélisme, des Architectures et des Systèmes, RenPar'17.\n
202 October 4-6, Perpignan, France
203 - <b>Metascheduling Multiple Resource Types using the MMKP</b>\n
204 by <em>D. Vanderster, N. Dimopoulos, R. Sobie</em>\n
205 7th IEEE/ACM International Conference on Grid Computing\n
206 Barcelona, September 28th-29th 2006
207 - <b>Master-Slave Tasking on Asymmetric Networks</b>\n
208 by <em>Cyril Banino-Rokkones, Olivier Beaumont and Lasse Natvig</em>.\n
209 In Proceedings of 12th International Euro-Par Conference, Euro-Par 2006.\n
210 August 29 - September 1, Pages 167--176, Dresden, Germany.
211 - <b>Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms</b>\n
212 by <em>Tchimou N'Takpé and Frédéric Suter</em>\n
213 Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS)\n
214 Minneapolis, MN, July 12-15, 2006.
215 - <b>Sensitivity Analysis of Knapsack-based Task Scheduling on the Grid</b>\n
216 by <em>D.C. Vanderster and N.J. Dimopoulos</em>.\n
217 In Proceedings of The 20th ACM International Conference on Supercomputing\n
218 Cairns, Australia, June 28-July 1, 2006.\n
219 http://portal.acm.org/citation.cfm?id=1183401.1183446&coll=GUIDE&dl=%23url.coll
220 - <b>Hierarchical Scheduling of Independent Tasks with Shared Files</b>\n
221 by <em>H. Senger, F. Silva, W. Nascimento</em>.\n
222 Proceedings of the Sixth IEEE International Symposium on Cluster
223 Computing and the Grid Workshop (CCGRIDW'06)\n
224 Singapore, 16-19 May 2006.\n
225 http://www.unisantos.br/mestrado/informatica/hermes/File/senger-HierarchicalScheduling-Workshop-TB120.pdf
226 - <b>Evaluation of Knapsack-based Scheduling using the NPACI JOBLOG</b>\n
227 by <em>D. Vanderster, N. Dimopoulos, R. Parra-Hernandez and R. Sobie</em>.\n
228 20th International Symposium on High-Performance Computing in an
229 Advanced Collaborative Environment (HPCS'06)\n
230 St. John's, Newfoundland, Canada, 14-17 May 2006\n
231 http://doi.ieeecomputersociety.org/10.1109/HPCS.2006.23
234 - <b>On Dynamic Resource Management Mechanism using Control
235 Theoretic Approach for Wide-Area Grid Computing</b>\n
236 by <em>Hiroyuki Ohsaki, Soushi Watanabe, and Makoto Imase</em>\n
237 in Proceedings of IEEE Conference on Control Applications (CCA 2005), Aug. 2005.\n
238 http://www.ispl.jp/~oosaki/papers/Ohsaki05_CCA.pdf
239 - <b>Evaluation of Meta-scheduler Architectures and Task Assignment Policies for
240 high Throughput Computing</b>\n
241 by <em>Eddy Caron, Vincent Garonne and Andrei Tsaregorodtsev</em>\n
242 Proceedings of 4th Internationnal Symposium on Parallel and
243 Distributed Computing Job Scheduling Strategies for Parallel
244 Processing (ISPDC'05), July 2005.\n
245 http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2005/RR2005-27.pdf
247 - <b>Deadline Scheduling with Priority for Client-Server Systems on the Grid</b>\n
248 by <em>E Caron, PK Chouhan, F Desprez</em>\n
249 in IEEE International Conference On Grid Computing. Super Computing 2004, oct 2004.
250 - <b>Efficient Scheduling Heuristics for GridRPC Systems</b>\n
251 by <em>Y. Caniou and E. Jeannot.</em>\n
252 in IEEE QoS and Dynamic System workshop (QDS) of International Conference
253 on Parallel and Distributed Systems (ICPADS), New-Port Beach California, USA,
254 pages 621-630, July 2004\n
255 http://graal.ens-lyon.fr/~ycaniou/QDS04.ps
256 - <b>Exploiting Replication and Data Reuse to Efficiently Schedule
257 Data-intensive Applications on Grids</b>\n
258 by <em> E. Santos-Neto, W. Cirne, F. Brasileiro, A. Lima.</em>\n
259 Proceedings of 10th Job Scheduling Strategies for Parallel Processing, June 2004.\n
260 http://www.lsd.ufcg.edu.br/~elizeu/articles/jsspp.v6.pdf
261 - <b>Resource Management and Knapsack Formulations on the Grid</b>\n
262 by <em>R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos</em>\n
263 Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)\n
264 http://doi.ieeecomputersociety.org/10.1109/GRID.2004.54
265 - <b>Scheduling BoT Applications in Grids using a Slave Oriented Adaptive
267 by <em>T. Ferreto, C. A. F. De Rose and C. Northfleet.</em>\n
268 Second International Symposium on Parallel and Distributed Processing
269 and Applications (ISPA), 2004, Hong Kong. Published in Lecture Notes in
270 Computer Science (LNCS), Volume 3358, by Springer-Verlag. p. 392-398.
272 - <b>Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments</b>\n
273 by <em>Wensheng Yao, Xiao Xie and Jinyuan You</em>\n
274 in Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003 (LNCS)\n
275 http://www.chinagrid.edu.cn/chinagrid/download/GCC2003/pdf/266.pdf
276 - <b>New Dynamic Heuristics in the Client-Agent-Server Model</b>\n
277 by <em>Y. Caniou and E. Jeannot</em>\n
278 in IEEE 13th Heteregeneous Computing Workshop - HCW'03, Nice, France, April 2003.\n
279 http://graal.ens-lyon.fr/~ycaniou/HCW03.ps
280 - <b>A Hierarchical Resource Reservation Algorithm for Network Enabled Servers</b>\n
281 by <em>E. Caron, F. Desprez, F. Petit, V. Villain</em>\n
282 in the 17th International Parallel and Distributed Processing Symposium -- IPDPS'03, Nice - France, April 2003.
284 \page publis_intra Our own papers that use SimGrid-generated results
286 This list is a selection of the articles we have written that used results
287 generated by SimGrid.
290 - <b>Assessing the Quality of Automatically Built Network Representations</b>\n
291 by <em>Lionel Eyraud-Dubois and Martin Quinson</em>\n
292 In Seventh IEEE International Symposium on Cluster Computing and
293 the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil.
294 - <b>A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms</b>\n
295 by <em>T. N'takpé, F. Suter, and Henri Casanova</em>\n
296 In 6th International Symposium on Parallel and Distributed Computing, Hagenberg, Austria, July 2007.
297 - <b>A First Step Towards Automatically Building Network Representations</b>\n
298 by <em>Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quinson and Frédéric Vivien</em>\n
299 In 12th International Euro-Par Conference 28-31 August, Rennes, France.
301 - <b>On the Harmfulness of Redundant Batch Requests</b>\n
302 by <em>H. Casanova</em>\n
303 Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
304 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hpdc_2006.pdf
305 - <b>An evaluation of Job Scheduling Strategies for Divisible Loads on Grid Platforms</b>\n
306 by <em>Y. Cardinale, H. Casanova</em>\n
307 in Proceedings of the High Performance Computing & Simulation Conference (HPC&S'06), Bonn, Germany, May 2006.\n
308 http://navet.ics.hawaii.edu/~casanova/homepage/papers/cardinale_2006.pdf
309 - <b>Interference-Aware Scheduling</b>\n
310 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante, S. Nandy</em>\n
311 International Journal of High Performance Computing Applications (IJHPCA), to appear.\n
312 http://navet.ics.hawaii.edu/~casanova/homepage/papers/kreaseck_ijhpca_2005.pdf
314 - <b>From Heterogeneous Task Scheduling to Heterogeneous Mixed Data and Task Parallel Scheduling</b>\n
315 by <em>F. Suter, V. Boudet, F. Desprez, H. Casanova</em>\n
316 Proceedings of Europar, 230--237, (LCNS volume 3149), Pisa, Italy, August 2004.
317 - <b>On the Interference of Communication on Computation</b>\n
318 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante</em>\n
319 Proceedings of the workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Santa Fe, April 2004.\n
320 http://navet.ics.hawaii.edu/~casanova/homepage/papers/k_pmeo2004.pdf
322 - <b>RUMR: Robust Scheduling for Divisible Workloads</b>\n
323 by <em>Y. Yang, H. Casanova</em>\n
324 Proceedings of the 12th IEEE Symposium on High Performance and Distributed Computing (HPDC-12), Seattle, June 2003.\n
325 http://navet.ics.hawaii.edu/~casanova/homepage/papers/yang_hpdc2003.pdf
326 - <b>Resource Allocation Strategies for Guided Parameter Space Searches</b>\n
327 by <em>M. Faerman, A. Birnbaum, F. Berman, H. Casanova</em>\n
328 International Journal of High Performance Computing Applications (IJHPCA), 17(4), 383--402, 2003.\n
329 http://grail.sdsc.edu/papers/faerman_ijhpca04.pdf
331 - <b>Resource Allocation for Steerable Parallel Parameter Searches</b>\n
332 by <em>M. Faerman, A. Birnbaum, H. Casanova, F. Berman</em>\n
333 Proceedings of the Grid Computing Workshop, Baltimore, 157--169, November 2002.\n
334 http://grail.sdsc.edu/projects/vi_itr/grid02.pdf
336 - <b>Applying Scheduling and Tuning to On-line Parallel Tomography </b>\n
337 by <em>Shava Smallen, Henri Casanova, Francine Berman</em>\n
338 in Proceedings of Supercomputing 2001\n
339 http://grail.sdsc.edu/papers/tomo_journal.ps.gz
341 - <b>Heuristics for Scheduling Parameter Sweep applications in Grid environments</b>\n
342 by <em>Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov and Francine Berman</em>\n
343 in Proceedings of the 9th Heterogeneous Computing workshop (HCW'2000), pp349-363.\n
344 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hcw00_pst.pdf
349 \li <b>Optimal algorithms for scheduling divisible workloads on
350 heterogeneous systems</b>\n
351 by <em>Olivier Beaumont and Arnaud Legrand and Yves Robert</em>\n
352 in Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS'03).\n
353 Preliminary version on ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-36.ps.gz
356 \li <b>On-line Parallel Tomography</b>\n
357 by <em>Shava Smallen</em>\n
358 Masters Thesis, UCSD, May 2001