SimGrid

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SimGrid

SimGrid Logo
Initial release	1998 (1998)[1]
Stable release	4.0 / March 12, 2025; 50 days ago (2025-03-12)
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 LGPL-2.1[2]
Website	simgrid.org

SimGrid is a framework for simulating and benchmarking applications on distributed computing systems.^[3] It provides high-level tools for comparing, evaluating, analyzing, and prototyping algorithms across different platforms,^[3] and has been used to run experimental simulations in various fields like big data, cloud computing, high-performance computing, grid computing, and P2P computing.^[4]

SimGrid is distributed as free and open-source software under the GNU Lesser General Public License version 2.1 (LGPL 2.1).^[5]

SimGrid started in 1999 as a joint research project between Henri Casanova from the University of California, San Diego and Arnaud Legrand, from École Normale Supérieure de Lyon.^[6] The original design was for simulating scheduling heuristics for heterogeneous platforms.

SimGrid has received funding from multiple national and international research agencies and has evolved through various project grants, such as the SONGS, USS-SimGrid, and ASTR projects.^{[citation needed]}

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:

• 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.^[3]
• Meta Scheduling Grid (MSG) is used for solving constraint satisfaction problems. ^[3]
• Grid Reality and Simulation (GRAS) simulates deployable distributed applications.
• Simulated Message Passing Interface (SMPI) for simulating MPI applications.

• BIGSIM
• Directed Acyclic Graph
• Cloud Computing
• Cloud-Sim

• Velho, Pedro; Legrand, Arnaud (3 March 2009). "Accuracy study and improvement of network simulation in the SimGrid framework". Proceedings of the Second International ICST Conference on Simulation Tools and Techniques. doi:10.4108/ICST.SIMUTOOLS2009.5592. ISBN 978-963-9799-45-5.
• 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 (PDF). pp. 251–260. doi:10.1109/CCGrid.2015.134. ISBN 978-1-4799-8006-2. 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. Retrieved 22 March 2025.

• Frincu, Marc-Eduard; Quinson, Martin; Suter, Frédéric (2008). "Handling Very Large Platforms with the New SimGrid Platform Description Formalism". [Technical Report] RT-0348. French Institute for Research in Computer Science and Automation: 27. Retrieved 22 March 2025.<

• SIMGRID – 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.