A framework for formalization and strictness analysis of simulation event orderings
A framework for formalization and strictness analysis of simulation event orderings
This article advocates the use of a formal framework for analyzing simulation performance. Simulation performance is characterized based on the three simulation development process boundaries: Physical system, simulation model, and simulator implementation. First, the authors formalize simulation event ordering using partially ordered set theory. A simulator implements a simulation event ordering and incurs implementation overheads when enforcing event ordering at runtime. Second, they apply their formalism to extract and formalize the simulation event orderings of both sequential and parallel simulations. Third, they propose the relation stricter and a measure called strictness for comparing and quantifying the degree of event dependency of simulation event orderings, respectively. In contrast to the event parallelism measure, strictness is independent of time.
event ordering, formalization, Parallel and distributed simulation, partially ordered set, strictness
325-335
Teo, Y.M.
16d4240a-2b2c-4004-80b3-7c3b7dbd84eb
Onggo, B.S.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
April 2005
Teo, Y.M.
16d4240a-2b2c-4004-80b3-7c3b7dbd84eb
Onggo, B.S.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Teo, Y.M. and Onggo, B.S.S.
(2005)
A framework for formalization and strictness analysis of simulation event orderings.
Simulation, 81 (4), .
(doi:10.1177/0037549705054930).
Abstract
This article advocates the use of a formal framework for analyzing simulation performance. Simulation performance is characterized based on the three simulation development process boundaries: Physical system, simulation model, and simulator implementation. First, the authors formalize simulation event ordering using partially ordered set theory. A simulator implements a simulation event ordering and incurs implementation overheads when enforcing event ordering at runtime. Second, they apply their formalism to extract and formalize the simulation event orderings of both sequential and parallel simulations. Third, they propose the relation stricter and a measure called strictness for comparing and quantifying the degree of event dependency of simulation event orderings, respectively. In contrast to the event parallelism measure, strictness is independent of time.
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e-pub ahead of print date: 1 April 2005
Published date: April 2005
Keywords:
event ordering, formalization, Parallel and distributed simulation, partially ordered set, strictness
Identifiers
Local EPrints ID: 433751
URI: http://eprints.soton.ac.uk/id/eprint/433751
ISSN: 0037-5497
PURE UUID: 4a6bec74-927a-439b-a6b4-ad55750e290e
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Date deposited: 03 Sep 2019 16:30
Last modified: 16 Mar 2024 04:39
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Author:
Y.M. Teo
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