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
37 @InProceedings{simgrid,
38 author = {Casanova, Henri and Legrand, Arnaud and Quinson, Martin},
39 title = {{SimGrid: a Generic Framework for Large-Scale Distributed Experiments}},
40 booktitle = {10th IEEE International Conference on Computer Modeling and Simulation},
46 \section publis_others Other publications
48 A lot of other papers where published about SimGrid. The list is
49 splited in 3 pages (also accessible from the navbar on top of this page):
51 This section contains papers describing some sub-parts of SimGrid,
52 or references superseeded by the one given above.
53 - \ref publis_extern\n
54 SimGrid is used by an ever growing scientific community. This
55 section lists all the papers resulting of works in which the core
56 SimGrid team were not involved.
58 This section lists the paper co-signed by at least one of the core
59 team member, and using SimGrid as a tool (and not studying SimGrid
62 \section publis_count Amount of published papers using SimGrid results
66 <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>
67 <td>2008</td><td>2009</td><td>Total</td></tr>
68 <tr><td>Amount of papers external to the core team</td>
69 <td>-</td> <td>-</td> <td>-</td> <td>3</td> <td>6</td> <td>3</td> <td>8</td> <td>6</td>
70 <td>5</td><td>3</td><td>32</td></tr>
71 <tr><td>Amount of papers co-signed by one team member</td>
72 <td>1</td> <td>1</td> <td>1</td> <td>2</td> <td>2</td> <td>-</td> <td>4</td> <td>4</td>
73 <td>1</td><td>1</td><td>16</td></tr>
76 \page publis_core Other publications about the SimGrid framework
78 \li <b>Accuracy Study and Improvement of Network Simulation in the SimGrid Framework</b>\n
79 by <em>P. Velho, A. Legrand</em>\n
80 in Proceedings of the 2nd International Conference on Simulation Tools and Technique (SIMUTools'09), Roma, Italy, March 2009.\n
81 http://mescal.imag.fr/membres/arnaud.legrand/articles/simutools09.pdf
83 \li <b>Speed and Accuracy of Network Simulation in the SimGrid Framework</b>\n
84 by <em>K. Fujiwara, H. Casanova</em>\n
85 in Proceedings of the First International Workshop on Network Simulation Tools (NSTools), Nantes, France, October 2007.\n
86 http://navet.ics.hawaii.edu/~casanova/homepage/papers/fujiwara_nstool2007.pdf
88 \li <b>Cost and Accuracy of Packet-Level vs. Analytical Network Simulations: An Empirical Study</b>\n
89 by <em>K. Fujiwara</em>\n
90 <b>M.S. Thesis</b>, Dept. of Information and Computer Sciences, University of Hawai`i at Manoa, April 2007.\n
91 http://navet.ics.hawaii.edu/~casanova/homepage/theses/kayo_fujiwara_MS.pdf
93 \li <b>Gras: A Research & Development Framework for Grid and P2P
95 by <em>Martin Quinson</em>\n
96 <b>Best paper</b> of the 18th IASTED International Conference on
97 Parallel and Distributed Computing and Systems (PDCS 2006)\n
98 http://www.loria.fr/~quinson/articles/gras-iasted06.pdf
100 \li <b>The SimGrid Project - Simulation and Deployment of Distributed Applications</b>\n
101 by <em>A. Legrand, M. Quinson, K. Fujiwara, H. Casanova</em>\n
102 <b>POSTER</b> in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
104 <a href="http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf"><img src="poster_thumbnail.png" /></a>
106 http://navet.ics.hawaii.edu/~casanova/homepage/papers/simgrid_hpdc06.pdf
108 \li <b>Scheduling Distributed Applications: the SimGrid Simulation Framework</b>\n
109 by <em>Henri Casanova and Arnaud Legrand and Loris Marchal</em>\n
110 Proceedings of the third IEEE International Symposium
111 on Cluster Computing and the Grid (CCGrid'03)\n
112 http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf
114 \li <b>A Network Model for Simulation of Grid Application</b>\n
115 by <em>Henri Casanova and Loris Marchal</em>\n
117 In this work we investigate network models that can be
118 potentially employed in the simulation of scheduling algorithms for
119 distributed computing applications. We seek to develop a model of TCP
120 communication which is both high-level and realistic. Previous research
121 works show that accurate and global modeling of wide-area networks, such
122 as the Internet, faces a number of challenging issues. However, some
123 global models of fairness and bandwidth-sharing exist, and can be link
124 withthe behavior of TCP. Using both previous results and simulation (with
125 NS), we attempt to understand the macroscopic behavior of
126 TCP communications. We then propose a global model of the network for the
127 Grid platform. We perform partial validation of this model in
128 simulation. The model leads to an algorithm for computing
129 bandwidth-sharing. This algorithm can then be implemented as part of Grid
130 application simulations. We provide such an implementation for the
131 SimGrid simulation toolkit.\n
132 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-40.ps.gz
135 \li <b>MetaSimGrid : Towards realistic scheduling simulation of
136 distributed applications</b>\n
137 by <em>Arnaud Legrand and Julien Lerouge</em>\n
138 Most scheduling problems are already hard on homogeneous
139 platforms, they become quite intractable in an heterogeneous
140 framework such as a metacomputing grid. In the best cases, a
141 guaranteed heuristic can be found, but most of the time, it is
142 not possible. Real experiments or simulations are often
143 involved to test or to compare heuristics. However, on a
144 distributed heterogeneous platform, such experiments are
145 technically difficult to drive, because of the genuine
146 instability of the platform. It is almost impossible to
147 guarantee that a platform which is not dedicated to the
148 experiment, will remain exactly the same between two tests,
149 thereby forbidding any meaningful comparison. Simulations are
150 then used to replace real experiments, so as to ensure the
151 reproducibility of measured data. A key issue is the
152 possibility to run the simulations against a realistic
153 environment. The main idea of trace-based simulation is to
154 record the platform parameters today, and to simulate the
155 algorithms tomorrow, against the recorded data: even though it
156 is not the current load of the platform, it is realistic,
157 because it represents a fair summary of what happened
158 previously. A good example of a trace-based simulation tool is
159 SimGrid, a toolkit providing a set of core abstractions and
160 functionalities that can be used to easily build simulators for
161 specific application domains and/or computing environment
162 topologies. Nevertheless, SimGrid lacks a number of convenient
163 features to craft simulations of a distributed application
164 where scheduling decisions are not taken by a single
165 process. Furthermore, modeling a complex platform by hand is
166 fastidious for a few hosts and is almost impossible for a real
167 grid. This report is a survey on simulation for scheduling
168 evaluation purposes and present MetaSimGrid, a simulator built
170 ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-28.ps.gz
172 \li <b>SimGrid: A Toolkit for the Simulation of Application
174 by <em>Henri Casanova</em>\n
175 Advances in hardware and software technologies have made it
176 possible to deploy parallel applications over increasingly large
177 sets of distributed resources. Consequently, the study of
178 scheduling algorithms for such applications has been an active area
179 of research. Given the nature of most scheduling problems one must
180 resort to simulation to effectively evaluate and compare their
181 efficacy over a wide range of scenarios. It has thus become
182 necessary to simulate those algorithms for increasingly complex
183 distributed, dynamic, heterogeneous environments. In this paper we
184 present SimGrid, a simulation toolkit for the study of scheduling
185 algorithms for distributed application. This paper gives the main
186 concepts and models behind SimGrid, describes its API and
187 highlights current implementation issues. We also give some
188 experimental results and describe work that builds on SimGrid's
190 http://doi.ieeecomputersociety.org/10.1109/CCGRID.2001.923223
192 \page publis_extern Papers that use SimGrid-generated results (not counting our owns)
194 This list is a selection of articles. We list only papers written by people
195 external to the development group, but we also use our tool ourselves (see
199 - <b>Efficient Scheduling of Task Graph Collections on Heterogeneous Resources</b>\n
200 by <em>Matthieu Gallet and Loris Marchal and Frédéric Vivien</em>.\n
201 International Parallel and Distributed Processing Symposium (IPDPS'2009).\n
202 - <b>Improving The Scalability of SimGrid Using Dynamic Routing</b>\n
203 by <em>S. De Munck, K. Vanmechelen and J. Broeckhove</em>.\n
204 Proceedings of ICCS 2009.\n
206 - <b>Offline and online scheduling of concurrent bags-of-tasks on heterogeneous platforms</b>\n
207 by <em>Anne Benoit and Loris Marchal and Jean-Francois Pineau and Yves Robert and Frédéric Vivien</em>.\n
208 10th Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2008), IEEE Computer Society Press.\n
209 - <b>Scheduling DAGs on Grids with Copying and Migration</b>\n
210 by <em>Israel Hernandez and Murray Cole</em>.\n
211 Parallel Processing and Applied Mathematics 2007 (PPAM07), LNCS 4967, pages 1019-1028, Springer, 2008.\n
212 http://www.springerlink.com/content/l555166254q2778p/?p=754ec30fb8044cce9f3f18dc9f304f4f&pi=107
213 - <b>Scalability of Grid Simulators : An Evaluation</b>\n
214 by <em>W. Depoorter, N. De Moor, K. Vanmechelen and J. Broeckhove</em>.\n
215 Proceedings of Europar 2008, Lecture Notes in Computer Science (LNCS 5168), 26-29 August,
216 Las Palmas de Gran Canaria, Spain, pp 544-553.
217 - <b>Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing</b>\n
218 by <em>Sascha Hunold, Thomas Rauber and Frédéric Suter</em>.\n
219 Proceedings of the 3rd International Workshop on Workflow Systems in
220 e-Science (WSES 08), Lyon, France, May 2008.
221 - <b>Computing Low Latency Batches with Unreliable Workers in Volunteer Computing Environments</b>\n
222 by <em>Eric Heien, N. Fujimoto, and Kenichi Hagihara</em>.\n
223 In PCGrid 2008, Workshop on Volunteer Computing and Desktop Grids.
225 - <b>Reliable DAG Scheduling with Rewinding and Migration</b>\n
226 by <em>Israel Hernandez and Murray Cole</em>.\n
227 First International Conference on Networks for Grid Applications (GridNets07), pages 1-8, ACM Press, 2007.\n
228 http://portal.acm.org/citation.cfm?id=1386610.1386614
229 - <b>Reactive Grid Scheduling of DAG Applications.</b>\n by
230 <em>I. Hernandez and M. Cole (UK)</em>. In Parallel and Distributed Computing and Networks, 2007.\n
231 http://www.actapress.com/PaperInfo.aspx?PaperID=29625
232 - <b>Dynamic Scheduling of Multi-Processor Tasks on Clusters of Clusters</b>\n
233 by <em>S. Hunold, T. Rauber and G. Rünger</em>.\n
234 Proceedings of the Sixth International Workshop on Algorithms,
235 Models and Tools for Parallel Computing on Heterogeneous Networks
236 (Heteropar'07), Austin, TX, September 2007.
237 - <b>Scheduling Delta-Critical Tasks in Mixed-Parallel Applications on a National Grid</b>\n
238 by <em>Frédéric Suter</em>.\n
239 In 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, September 2007.
240 - <b>Brokering strategies in computational grids using stochastic
241 prediction models.</b>\n by <em>Vandy Berten and Bruno
242 Gaujal</em>. In Parallel Computing, vol. 33(4-5): 238-249, 2007.\n
243 http://dev.ulb.ac.be/sched/articles/PARCO.pdf
244 - <b>Managing Scheduling and Replication in the LHC Grid.</b>\n by
245 <em>Thomas Ferrandiz and Vania Marangozova</em>. In CoreGrid
246 Workshop on middleware, 2007.\n
248 - <b>Simbatch: an API for simulating and predicting the performance of parallel resources and batch systems.</b>\n
249 by <em>Jean-Sébastien Gay and Yves Caniou</em>\n
250 INRIA Research Report 6040, November 2006.\n
251 https://hal.inria.fr/inria-00115880
252 - <b>Simbatch : une API pour la simulation et la prédiction de performances de systèmes batch</b>\n
253 by <em>Jean-Sébastien Gay and Yves Caniou</em>.\n
254 In 17ème Rencontres Francophones du Parallélisme, des Architectures et des Systèmes, RenPar'17.\n
255 October 4-6, Perpignan, France
256 - <b>Metascheduling Multiple Resource Types using the MMKP</b>\n
257 by <em>D. Vanderster, N. Dimopoulos, R. Sobie</em>\n
258 7th IEEE/ACM International Conference on Grid Computing\n
259 Barcelona, September 28th-29th 2006
260 - <b>Master-Slave Tasking on Asymmetric Networks</b>\n
261 by <em>Cyril Banino-Rokkones, Olivier Beaumont and Lasse Natvig</em>.\n
262 In Proceedings of 12th International Euro-Par Conference, Euro-Par 2006.\n
263 August 29 - September 1, Pages 167--176, Dresden, Germany.
264 - <b>Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms</b>\n
265 by <em>Tchimou N'Takpé and Frédéric Suter</em>\n
266 Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS)\n
267 Minneapolis, MN, July 12-15, 2006.
268 - <b>Sensitivity Analysis of Knapsack-based Task Scheduling on the Grid</b>\n
269 by <em>D.C. Vanderster and N.J. Dimopoulos</em>.\n
270 In Proceedings of The 20th ACM International Conference on Supercomputing\n
271 Cairns, Australia, June 28-July 1, 2006.\n
272 http://portal.acm.org/citation.cfm?id=1183401.1183446&coll=GUIDE&dl=%23url.coll
273 - <b>Hierarchical Scheduling of Independent Tasks with Shared Files</b>\n
274 by <em>H. Senger, F. Silva, W. Nascimento</em>.\n
275 Proceedings of the Sixth IEEE International Symposium on Cluster
276 Computing and the Grid Workshop (CCGRIDW'06)\n
277 Singapore, 16-19 May 2006.\n
278 http://www.unisantos.br/mestrado/informatica/hermes/File/senger-HierarchicalScheduling-Workshop-TB120.pdf
279 - <b>Evaluation of Knapsack-based Scheduling using the NPACI JOBLOG</b>\n
280 by <em>D. Vanderster, N. Dimopoulos, R. Parra-Hernandez and R. Sobie</em>.\n
281 20th International Symposium on High-Performance Computing in an
282 Advanced Collaborative Environment (HPCS'06)\n
283 St. John's, Newfoundland, Canada, 14-17 May 2006\n
284 http://doi.ieeecomputersociety.org/10.1109/HPCS.2006.23
286 - <b>On Dynamic Resource Management Mechanism using Control
287 Theoretic Approach for Wide-Area Grid Computing</b>\n
288 by <em>Hiroyuki Ohsaki, Soushi Watanabe, and Makoto Imase</em>\n
289 in Proceedings of IEEE Conference on Control Applications (CCA 2005), Aug. 2005.\n
290 http://www.ispl.jp/~oosaki/papers/Ohsaki05_CCA.pdf
291 - <b>Evaluation of Meta-scheduler Architectures and Task Assignment Policies for
292 high Throughput Computing</b>\n
293 by <em>Eddy Caron, Vincent Garonne and Andrei Tsaregorodtsev</em>\n
294 Proceedings of 4th Internationnal Symposium on Parallel and
295 Distributed Computing Job Scheduling Strategies for Parallel
296 Processing (ISPDC'05), July 2005.\n
297 http://www.ens-lyon.fr/LIP/Pub/Rapports/RR/RR2005/RR2005-27.pdf
298 - <b>Algorithmes de redistribution de données pour anneaux de processeurs hétérogènes</b>\n
299 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
300 In 16ième Rencontres Francophones du Parallélisme des Architectures et des Systèmes, Le Croisic, France, 6-8 avril 2005.\n
301 http://www.polytech.unice.fr/~hrenard/recherche/Renpar16.ps
303 - <b>Deadline Scheduling with Priority for Client-Server Systems on the Grid</b>\n
304 by <em>Eddy Caron, PK Chouhan, Frédéric Desprez</em>\n
305 in IEEE International Conference On Grid Computing. Super Computing 2004, oct 2004.
306 - <b>Efficient Scheduling Heuristics for GridRPC Systems</b>\n
307 by <em>Yves Caniou and Emmanuel Jeannot.</em>\n
308 in IEEE QoS and Dynamic System workshop (QDS) of International Conference
309 on Parallel and Distributed Systems (ICPADS), New-Port Beach California, USA,
310 pages 621-630, July 2004\n
311 http://graal.ens-lyon.fr/~ycaniou/QDS04.ps
312 - <b>Exploiting Replication and Data Reuse to Efficiently Schedule
313 Data-intensive Applications on Grids</b>\n
314 by <em> E. Santos-Neto, W. Cirne, F. Brasileiro, A. Lima.</em>\n
315 Proceedings of 10th Job Scheduling Strategies for Parallel Processing, June 2004.\n
316 http://www.lsd.ufcg.edu.br/~elizeu/articles/jsspp.v6.pdf
317 - <b>Resource Management and Knapsack Formulations on the Grid</b>\n
318 by <em>R. Parra-Hernandez, D. Vanderster and N. J. Dimopoulos</em>\n
319 Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)\n
320 http://doi.ieeecomputersociety.org/10.1109/GRID.2004.54
321 - <b>Scheduling BoT Applications in Grids using a Slave Oriented Adaptive
323 by <em>T. Ferreto, C. A. F. De Rose and C. Northfleet.</em>\n
324 Second International Symposium on Parallel and Distributed Processing
325 and Applications (ISPA), 2004, Hong Kong. Published in Lecture Notes in
326 Computer Science (LNCS), Volume 3358, by Springer-Verlag. p. 392-398.
327 - <b>Data redistribution algorithms for heterogeneous processor rings</b>\n
328 by <em>Héléne Renard, Yves Robert and Frédéric Vivien</em>\n
329 In International Conference on High Performance Computing HiPC'2004\n
330 http://www.polytech.unice.fr/~hrenard/recherche/Hipc.pdf
332 - <b>Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments</b>\n
333 by <em>Wensheng Yao, Xiao Xie and Jinyuan You</em>\n
334 in Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003 (LNCS)\n
335 http://www.chinagrid.edu.cn/chinagrid/download/GCC2003/pdf/266.pdf
336 - <b>New Dynamic Heuristics in the Client-Agent-Server Model</b>\n
337 by <em>Yves Caniou and Emmanuel Jeannot</em>\n
338 in IEEE 13th Heteregeneous Computing Workshop - HCW'03, Nice, France, April 2003.\n
339 http://graal.ens-lyon.fr/~ycaniou/HCW03.ps
340 - <b>A Hierarchical Resource Reservation Algorithm for Network Enabled Servers</b>\n
341 by <em>Eddy Caron, Frédéric Desprez, Franck Petit, V. Villain</em>\n
342 in the 17th International Parallel and Distributed Processing Symposium -- IPDPS'03, Nice - France, April 2003.
344 \page publis_intra Our own papers that use SimGrid-generated results
346 This list is a selection of the articles we have written that used results
347 generated by SimGrid.
350 - <b>Toward a Fully Decentralized Algorithm for Multiple Bag-of-tasks Application Scheduling on Grids</b>\n
351 by <em>Rémi Bertin, Arnaud Legrand, and Corinne Touati</em>.\n
352 In IEEE/ACM International Conference on Grid Computing (Grid), Tsukuba, Japan, 2008.
354 - <b>Assessing the Quality of Automatically Built Network Representations</b>\n
355 by <em>Lionel Eyraud-Dubois and Martin Quinson</em>\n
356 In Seventh IEEE International Symposium on Cluster Computing and
357 the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil.
358 - <b>A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms</b>\n
359 by <em>Tchimou N'takpé, Frédéric Suter, and Henri Casanova</em>\n
360 In 6th International Symposium on Parallel and Distributed Computing, Hagenberg, Austria, July 2007.
361 - <b>A First Step Towards Automatically Building Network Representations</b>\n
362 by <em>Lionel Eyraud-Dubois, Arnaud Legrand, Martin Quinson and Frédéric Vivien</em>\n
363 In 12th International Euro-Par Conference 28-31 August, Rennes, France.
364 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
365 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
366 In IEEE Trans. Parallel Distributed Systems, 2007.
368 - <b>On the Harmfulness of Redundant Batch Requests</b>\n
369 by <em>H. Casanova</em>\n
370 Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC-15), Paris, France, May 2006.\n
371 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hpdc_2006.pdf
372 - <b>An evaluation of Job Scheduling Strategies for Divisible Loads on Grid Platforms</b>\n
373 by <em>Y. Cardinale, H. Casanova</em>\n
374 in Proceedings of the High Performance Computing & Simulation Conference (HPC&S'06), Bonn, Germany, May 2006.\n
375 http://navet.ics.hawaii.edu/~casanova/homepage/papers/cardinale_2006.pdf
376 - <b>Centralized Versus Distributed Schedulers Multiple Bag-of-Tasks Applications</b>\n
377 by <em>Olivier Beaumont, Larry Carter, Jeanne Ferrante, Arnaud Legrand, Loris Marchal, and Yves Robert</em>\n
378 International Parallel and Distributed Processing Symposium IPDPS'2006, 2006
379 - <b>Interference-Aware Scheduling</b>\n
380 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante, S. Nandy</em>\n
381 International Journal of High Performance Computing Applications (IJHPCA).\n
382 http://navet.ics.hawaii.edu/~casanova/homepage/papers/kreaseck_ijhpca_2005.pdf
384 - <b>From Heterogeneous Task Scheduling to Heterogeneous Mixed Data and Task Parallel Scheduling</b>\n
385 by <em>F. Suter, V. Boudet, F. Desprez, H. Casanova</em>\n
386 Proceedings of Europar, 230--237, (LCNS volume 3149), Pisa, Italy, August 2004.
387 - <b>On the Interference of Communication on Computation</b>\n
388 by <em>B. Kreaseck, L. Carter, H. Casanova, J. Ferrante</em>\n
389 Proceedings of the workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, Santa Fe, April 2004.\n
390 http://navet.ics.hawaii.edu/~casanova/homepage/papers/k_pmeo2004.pdf
393 - <b>RUMR: Robust Scheduling for Divisible Workloads</b>\n
394 by <em>Y. Yang, H. Casanova</em>\n
395 Proceedings of the 12th IEEE Symposium on High Performance and Distributed Computing (HPDC-12), Seattle, June 2003.\n
396 http://navet.ics.hawaii.edu/~casanova/homepage/papers/yang_hpdc2003.pdf
397 - <b>Resource Allocation Strategies for Guided Parameter Space Searches</b>\n
398 by <em>M. Faerman, A. Birnbaum, F. Berman, H. Casanova</em>\n
399 International Journal of High Performance Computing Applications (IJHPCA), 17(4), 383--402, 2003.\n
400 http://grail.sdsc.edu/papers/faerman_ijhpca04.pdf
402 - <b>Resource Allocation for Steerable Parallel Parameter Searches</b>\n
403 by <em>M. Faerman, A. Birnbaum, H. Casanova, F. Berman</em>\n
404 Proceedings of the Grid Computing Workshop, Baltimore, 157--169, November 2002.\n
405 http://grail.sdsc.edu/projects/vi_itr/grid02.pdf
407 - <b>Applying Scheduling and Tuning to On-line Parallel Tomography </b>\n
408 by <em>Shava Smallen, Henri Casanova, Francine Berman</em>\n
409 in Proceedings of Supercomputing 2001\n
410 http://grail.sdsc.edu/papers/tomo_journal.ps.gz
412 - <b>Heuristics for Scheduling Parameter Sweep applications in Grid environments</b>\n
413 by <em>Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov and Francine Berman</em>\n
414 in Proceedings of the 9th Heterogeneous Computing workshop (HCW'2000), pp349-363.\n
415 http://navet.ics.hawaii.edu/~casanova/homepage/papers/hcw00_pst.pdf
420 \li <b>Optimal algorithms for scheduling divisible workloads on
421 heterogeneous systems</b>\n
422 by <em>Olivier Beaumont and Arnaud Legrand and Yves Robert</em>\n
423 in Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS'03).\n
424 Preliminary version on ftp://ftp.ens-lyon.fr/pub/LIP/Rapports/RR/RR2002/RR2002-36.ps.gz
427 \li <b>On-line Parallel Tomography</b>\n
428 by <em>Shava Smallen</em>\n
429 Masters Thesis, UCSD, May 2001