Software:SimGrid
From HandWiki
 SimGrid Logo | |
| Initial release | 1999[1] |
|---|---|
| Stable release | 4.0
/ March 12, 2025 |
| Repository | https://framagit.org/simgrid/simgrid |
| Written in | Core: C++; Bindings: Python |
| Platform | Unix, Mac OS X, Microsoft Windows |
| Type | Distributed system simulator, Network simulator, Model checking |
| License | GNU Lesser General Public License version 2.1 only[2] |
| Website | simgrid |
is a framework for simulating applications on distributed computing systems.[3] It provides high-level programming language tools for comparing, evaluating, analyzing, and prototyping algorithms across different platforms. SimGrid has been used to conduct experimental simulations in multiple domains, including cluster computing, grid computing, heuristics and peer-to-peer (P2P) computing.[1]
is distributed as freeware under the GNU Lesser General Public License version 2.1 (LGPL-2.1-only).[4][2]
History
SimGrid started in 1999 as a joint research project between Henry Casanova and Arnaud Legrand from the University of California, San Diego and École Normale Supérieure de Lyon, respectively.[5] The original design was only used for simulating the scheduling of heuristics for heterogeneous platforms.[5]
SimGrid has received funding from national and international research agencies and has evolved through various projects, including SONGS, USS-SimGrid, and ASTR.[6]
APIs and models
 | Parts of this software (those related to section) need to be updated. The reason given is: MSG has been deprecated as of version 4 of SimGrid. Please update this software to reflect recent events or newly available information. (May 2025) |
SimGrid supports multiple programming languages, including C++ and Python, through models and APIs.
SimGrid provides tools for analyzing scheduling, resource allocation, fault tolerance, and other aspects of distributed computing through four distinct interfaces:[1]
- Simulation Directed Acyclic Graphs (SIMDAG) simulates execution of DAGs, including specified tasks, dependencies, scheduling resources, and interaction with the environment. It allows users to add tasks, specify dependencies, and interact with the environment.
- Meta Scheduling Grid (MSG) is used for solving constraint satisfaction problems.
- Grid Reality and Simulation (GRAS) simulates deployable distributed applications.
- Simulated Message Passing Interface (SMPI) simulates MPI applications.
Release history
| Version | Release date | Significant changes |
|---|---|---|
| SimGrid v1.0 | 1999 |
|
| SimGrid v2.0 | 2003 |
|
| SimGrid v3.3 | 2009 |
|
| SimGrid v4.0 | March 12, 2025[9] |
|
See also
- BIGSIM
- Directed Acyclic Graph
- Cloud computing
- CloudSim
References
- ↑ 1.0 1.1 1.2 Casanova, Henri; Legrand, Arnaud; Quinson, Martin (March 4, 2008). "SimGrid: a Generic Framework for Large-Scale Distributed Experiments" (in en). Inria (IEEE). https://inria.hal.science/inria-00260697/en/.
- ↑ 2.0 2.1 "simgrid/COPYING at master · simgrid/simgrid" (in en). https://github.com/simgrid/simgrid/blob/master/COPYING.
- ↑ Casanova, Henri (May 2001). "A Toolkit for the Simulation of Application Scheduling". Brisbane, Australia. pp. 430–441. doi:10.1109/CCGRID.2001.923223.
- ↑ "LICENSE-LGPL-2.1 · master · simgrid / simgrid · GitLab" (in en). 2010-11-27. https://framagit.org/simgrid/simgrid/-/blob/master/LICENSE-LGPL-2.1.
- ↑ 5.0 5.1 "SimGrid History". https://simgrid.org/history.html.
- ↑ "Overview - SIMGRID - IN2P3-Forge". https://forge.in2p3.fr/projects/simgrid.
- ↑ 7.0 7.1 Arnaud Legrand; Henri Casanova; Loris Marchal (2003). "Scheduling distributed applications: The SimGrid simulation framework". CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.. Tokyo, Japan: IEEE. pp. 138–145. doi:10.1109/CCGRID.2003.1199362. ISBN 0-7695-1919-9. "This paper focuses on SimGrid v2, which greatly improves on the first version of the software with more realistic network models and topologies. SimGrid v2 also enables the simulation of distributed scheduling agents, which has become critical for current scheduling research in large-scale platforms."
- ↑ "[inria-00631141, v1 Towards Scalable, Accurate, and Usable Simulations of Distributed Applications and Systems"]. https://webperso.info.ucl.ac.be/~pvr/GrascompCloudDay2012/QuinsonRR-7761.pdf.
- ↑ 9.0 9.1 "SimGrid 4 Release Notes — SimGrid documentation". https://simgrid.org/doc/latest/Release_Notes.html.
Further reading
- Velho, Pedro; Legrand, Arnaud (3 March 2009). "Accuracy study and improvement of network simulation in the SimGrid framework" (in en). Proceedings of the Second International ICST Conference on Simulation Tools and Techniques. doi:10.4108/ICST.SIMUTOOLS2009.5592. ISBN 978-963-9799-45-5. https://inria.hal.science/inria-00361031/.
- Lebre, Adrien; Legrand, Arnaud; Suter, Frédéric; Veyre, Pierre (May 2015). "Adding Storage Simulation Capacities to the SimGrid Toolkit: Concepts, Models, and API". 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. pp. 251–260. doi:10.1109/CCGrid.2015.134. ISBN 978-1-4799-8006-2. https://ieeexplore.ieee.org/document/7152491. Retrieved 22 March 2025.
- Ramamonjisoa, Charles Emile; Khodja, Lilia Ziane; Laiymani, David; Giersch, Arnaud; Couturier, Raphaël (August 2014). "Simulation of Asynchronous Iterative Algorithms Using SimGrid". 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS). pp. 890–895. doi:10.1109/HPCC.2014.155. ISBN 978-1-4799-6123-8.
- Frincu, Marc-Eduard; Quinson, Martin; Suter, Frédéric (2008). "Handling Very Large Platforms with the New SimGrid Platform Description Formalism" (in en). [Technical Report] RT-0348 (French Institute for Research in Computer Science and Automation): 27. https://inria.hal.science/inria-00256883/. Retrieved 22 March 2025.
External links
- SimGrid Home – official project homepage
- Reference publication: H. Casanova, A. Giersch, A. Legrand, M. Quinson, and F. Suter, “Versatile, Scalable, and Accurate Simulation of Distributed Applications and Platforms,” Journal of Parallel and Distributed Computing, vol. 74, no. 10, pp. 2899 – 2917, 2014.
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