Abstract
We consider the parallel simulation of distributed systems based upon the notion of separability. We define a model of distributed systems that integrates a limited set of temporal properties, from which we deduce specific parallel simulation strategies avoiding rollback and dynamic scheduling which are often necessary to obtain an optimal rate of parallelism in parallel and/or distributed simulations. In particular, we present strategies that enable to compute the simulation schedule in advance, or even statically.
This approach appears to be relevant for a large class of distributed computations, inasmuch as it relies upon a limited set of temporal properties of the simulated systems.
This research was supported by CNES grant R-S06/VF-001-058, in collaboration with the Spacebel company.
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Mauran, P., Padiou, G., Quéinnec, P. (2007). Separability to Help Parallel Simulation of Distributed Computations. In: Tovar, E., Tsigas, P., Fouchal, H. (eds) Principles of Distributed Systems. OPODIS 2007. Lecture Notes in Computer Science, vol 4878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77096-1_26
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DOI: https://doi.org/10.1007/978-3-540-77096-1_26
Publisher Name: Springer, Berlin, Heidelberg
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