Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
Large Scale Distributed Simulation of p2p Networks
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
SimGrid: A Generic Framework for Large-Scale Distributed Experiments
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
An extensible simulation tool for overlay networks and services
Proceedings of the 2009 ACM symposium on Applied Computing
Accuracy study and improvement of network simulation in the SimGrid framework
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
SimMatrix: SIMulator for MAny-Task computing execution fabRIc at eXascale
Proceedings of the High Performance Computing Symposium
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Discrete Event Simulation (DES) is one of the major experimental methodologies in several scientific and engineering domains. Parallel Discrete Event Simulation (PDES) constitutes a very active research field for at least three decades, to surpass speed and size limitations. In the context of Peer-to-Peer (P2P) protocols, most studies rely on simulation. Surprisingly enough, none of the mainstream P2P discrete event simulators allows parallel simulation although the tool scalability is considered as the major quality metric by several authors. This paper revisits the classical PDES methods in the light of distributed system simulation and proposes a new parallelization design specifically suited to this context. The constraints posed on the simulator internals are presented, and an OS-inspired architecture is proposed. In addition, a new thread synchronization mechanism is introduced for efficiency despite the very fine grain parallelism inherent to the target scenarios. This new architecture was implemented into the general-purpose open-source simulation framework SimGrid. We show that the new design does not hinder the tool scalability. In fact, the sequential version of SimGrid remains orders of magnitude more scalable than state of the art simulators, while the parallel execution saves up to 33% of the execution time on Chord simulations.