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A framework for formalization and strictness analysis of simulation event orderings

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
0037-5497
325-335
Teo, Y.M.
16d4240a-2b2c-4004-80b3-7c3b7dbd84eb
Onggo, B.S.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
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), 325-335. (doi:10.1177/0037549705054930).

Record type: Article

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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More information

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
ORCID for B.S.S. Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 03 Sep 2019 16:30
Last modified: 09 Jan 2022 04:06

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Contributors

Author: Y.M. Teo
Author: B.S.S. Onggo ORCID iD

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