Proceedings of the 29th Conference on Winter Simulation - WSC '97 1997
DOI: 10.1145/268437.268459
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Visualizing parallel simulations in network computing environments

Abstract: Parallel discrete event simulation systems (PDES) are used to simulate large-scale applications such as modeling telecommunication networks, transportation grids, and battlefield scenarios. While a large amount of PDES research has focused on employing multiprocessors and multicomputers, the use of networks of workstations interconnected through Ethernet or ATM has evolved into a popular and effective platform for PDES. To improve performance in these environments, we investigate the use of graphical visualiza… Show more

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Cited by 16 publications
(4 citation statements)
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References 14 publications
(6 reference statements)
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“…In terms of academic research, PVaniM and PVaniM-GTW [16][17][18] are two of the earliest visualization systems used to visualize events in networked computing environment simulations. PVaniM focused on large-grained events of the computing environment and program debugging.…”
Section: Visualization Of Computing Clustermentioning
confidence: 99%
“…In terms of academic research, PVaniM and PVaniM-GTW [16][17][18] are two of the earliest visualization systems used to visualize events in networked computing environment simulations. PVaniM focused on large-grained events of the computing environment and program debugging.…”
Section: Visualization Of Computing Clustermentioning
confidence: 99%
“…Carothers et. al (Carothers et al, 1997) created a visualization environment that we used to observe the execution of a parallel and distributed discrete event simulation environment. Their PvaniM system was primarily intended to allow a user to observe possible performance bottlenecks in an optimistic distributed simulation, and to compare various middleware approaches to obtain optimal performance.…”
Section: Related Workmentioning
confidence: 99%
“…The advantages of these network computing environments include 1) ready availability, Chen 2) low cost, and 3) incremental scalability. Furthermore, network computing environments retain their ability to serve as a general-purpose computing platform and to run commercially available software products, see Carothers et al (1997).…”
Section: The Frameworkmentioning
confidence: 99%