Synchronization methods in parallel and distributed discrete-event simulation |
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| Affiliation: | 1. Milwaukee School of Engineering, 1025 N. Broadway, Milwaukee, WI 53202-3109, USA;2. IBM, T.J. Watson Research Center, 1101 Kitchawan Road, Route 134, Yorktown Heights, NY 10598, USA;3. Department of Systems and Computer Engineering, Carleton University, 1125 Collonel By Drive, Ottawa, ON, Canada K1S 5B6;1. School of Information System and Management, National University of Defense Technology, Changsha, 410073, China;2. Institute of Computer Science, University of Rostock, Albert Einstein Str. 22, Rostock, 18059, Germany;1. School of Engineering, University of Applied Sciences and Arts Western Switzerland (HES-SO), Sion, Switzerland;2. Service of Clinical Pharmacology, University Hospital of Lausanne (CHUV), Lausanne, Switzerland;3. School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland;1. Focus Team, University of Bologna/INRIA, Italy;2. IMT, School for Advanced Studies Lucca, Italy;3. School of Science and Technology, University of Camerino, Italy |
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| Abstract: | This work attempts to provide insight into the problem of executing discrete event simulation in a distributed fashion. The article serves as the state of the art in Parallel Discrete-Event Simulation (PDES) by surveying existing algorithms and analyzing the merits and drawbacks of various techniques. We discuss the main characteristics of existing synchronization methods for parallel and distributed discrete event simulation. The two major categories of synchronization protocols, namely conservative and optimistic, are introduced and various approaches within each category are presented. We also present the latest efforts towards PDES on emerging platforms such as heterogeneous multicore processors, Web services, as well as Grid and Cloud environment. |
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