- In this paper we present the SimGrid framework which enables the
- simulation of distributed applications in distributed computing
- environments for the specific purpose of developing and evaluating
- scheduling algorithms. 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.
- After describing and validating these features, we present a case
- study by which we demonstrate the usefulness of SimGrid for
- conducting scheduling research.\n
- http://www-id.imag.fr/Laboratoire/Membres/Legrand_Arnaud/articles/simgrid2_CCgrid03.pdf
-
-Previous publication do not cover the GRAS part of the framework. So, if you
-want to cite GRAS, please use this publication instead:
-
-\li <b>Gras: A Research & Development Framework for Grid and P2P
- Infrastructures</b>\n
- by <em>Martin Quinson</em>\n
- <b>Best paper</b> of the 18th IASTED International Conference on
- Parallel and Distributed Computing and Systems (PDCS 2006)\n
- http://www.loria.fr/~quinson/articles/gras-iasted06.pdf
+ In this paper we describe the SimGrid framework, a
+ simulation-based framework for evaluating cluster, grid and P2P
+ algorithms and heuristics. This paper focuses on SimGrid v3, which
+ greatly improves on previous versions thanks to a novel and
+ validated modular simulation engine that achieves higher
+ simulation speed without hindering simulation accuracy. Also, two
+ new user interfaces were added to broaden the targeted research
+ community. After surveying existing tools and methodologies we
+ describe the key features and benefits of SimGrid.\n
+ http://www.loria.fr/~quinson/articles/SimGrid-uksim08.pdf