Towards Scalable, Accurate, and Usable Simulations of Distributed Applications and Systems

Olivier Beaumont; Laurent Bobelin; Henri Casanova; Pierre-Nicolas Clauss; Bruno Donassolo; Lionel Eyraud-Dubois; Stéphane Genaud; Sascha Hunold; Arnaud Legrand; Martin Quinson; Cristian Rosa; Lucas Schnorr; Mark Stillwell; Frédéric Suter; Christophe Thiery; Pedro Velho; Jean-Marc Vincent; Young Won

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Towards Scalable, Accurate, and Usable Simulations of Distributed Applications and Systems

Olivier Beaumont ^{1, 2} Laurent Bobelin ³ Henri Casanova ⁴ Pierre-Nicolas Clauss ⁵ Bruno Donassolo ⁶ Lionel Eyraud-Dubois ^{1, 2} Stéphane Genaud ⁷ Sascha Hunold ³ Arnaud Legrand ^{8, 3} Martin Quinson ⁵ Cristian Rosa ⁵ Lucas Schnorr ^{3, 9} Mark Stillwell ^{10, 11} Frédéric Suter ¹² Christophe Thiery ⁵ Pedro Velho ³ Jean-Marc Vincent ³ Young Won ^{1, 2}

1 CEPAGE - Algorithmics for computationally intensive applications over wide scale distributed platforms

Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800

2 LaBRI - Laboratoire Bordelais de Recherche en Informatique

3 MESCAL - Middleware efficiently scalable

LIG - Laboratoire d'Informatique de Grenoble, Inria Grenoble - Rhône-Alpes

4 CoRG - Concurrency Research Group

5 ALGORILLE - Algorithms for the Grid

INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

6 UFRGS - Instituto de Informática da UFRGS

7 LSIIT / ICPS - Laboratoire de Sciences de l'Image, de l'Informatique et de la Télédétection, équipe ICPS

8 LIG - Laboratoire d'Informatique de Grenoble

9 GPPD - Grupo de Processamento Paralelo e Distribuído

10 LIP - Laboratoire de l'Informatique du Parallélisme

11 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms

Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme

12 CC-IN2P3 - Centre de Calcul de l'IN2P3

Abstract : The study of parallel and distributed applications and platforms, whether in the cluster, grid, peer-to-peer, volunteer, or cloud computing domain, often mandates empirical evaluation of proposed algorithm and system solutions via simulation. Unlike direct experimentation via an application deployment on a real-world testbed, simulation enables fully repeatable and configurable experiments that can often be conducted quickly for arbitrary hypothetical scenarios. In spite of these promises, current simulation practice is often not conducive to obtaining scientifically sound results. State-of-the-art simulators are often not validated and their accuracy is unknown. Furthermore, due to the lack of accepted simulation frameworks and of transparent simulation methodologies, published simulation results are rarely reproducible. We highlight recent advances made in the context of the SimGrid simulation framework in a view to addressing this predicament across the aforementioned domains. These advances, which pertain both to science and engineering, together lead to unprecedented combinations of simulation accuracy and scalability, allowing the user to trade off one for the other. They also enhance simulation usability and reusability so as to promote an Open Science approach for simulation-based research in the field.

Document type :

Reports

Domain :

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

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https://hal.inria.fr/inria-00631141
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Submitted on : Tuesday, October 11, 2011 - 5:18:47 PM
Last modification on : Friday, January 21, 2022 - 3:23:40 AM
Long-term archiving on: : Tuesday, November 13, 2012 - 4:26:22 PM

Towards Scalable, Accurate, and Usable Simulations of Distributed Applications and Systems

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