Article

Wolf: a rollback algorithm for optimistic distributed simulation systems

Authors:

Vijay Madisetti,

Jean Walrand,

David MesserschmittAuthors Info & Claims

WSC '88: Proceedings of the 20th conference on Winter simulation

Pages 296 - 305

https://doi.org/10.1145/318123.318205

Published: 01 December 1988 Publication History

Abstract

Discrete event dynamical systems are used to model a number of engineering applications ranging from communication networks, distributed computing systems to manufacturing systems. A new analytical model is proposed for the analysis of asynchronous, optimistic distributed simulation of discrete event dynamical systems. The performance of traditional timewarp algorithms and that of a new rollback algorithm, Wolf, are examined in this framework and a comparison is attempted. A few preliminary implementations of Wolf on a distributed computing system confirm analytical results predicting a considerable reduction in error propagation, a decrease in the number of cancellations and an enhancement in the forward computation.

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Jefferson DBarnes P(2024)Virtual Time III, Part 3: Throttling and Message CancellationACM Transactions on Modeling and Computer Simulation10.1145/367817334:4(1-35)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3678173
Avci HNelson BSong EWächter A(2023)Using Cache or Credit for Parallel Ranking and SelectionACM Transactions on Modeling and Computer Simulation10.1145/361829933:4(1-28)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3618299
Maqbool FMalik AMahmood ID'Angelo GRisco Martín JBesada EDe Rango F(2018)SEECSSimProceedings of the 22nd International Symposium on Distributed Simulation and Real Time Applications10.5555/3330299.3330334(263-269)Online publication date: 15-Oct-2018
https://dl.acm.org/doi/10.5555/3330299.3330334
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Index Terms

Wolf: a rollback algorithm for optimistic distributed simulation systems
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory
    2. Simulation types and techniques
      1. Distributed simulation

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Published In

WSC '88: Proceedings of the 20th conference on Winter simulation

December 1988

896 pages

ISBN:0911801421

DOI:10.1145/318123

Editors:
Michael A. Abrams
Hewlett-Packard Co., Cupertino, CA
,
Peter L. Haigh
NCR Corp., Dayton, OH
,
John C. Comfort
Florida International Univ., Miami

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1988

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Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Jefferson DBarnes P(2024)Virtual Time III, Part 3: Throttling and Message CancellationACM Transactions on Modeling and Computer Simulation10.1145/367817334:4(1-35)Online publication date: 17-Jul-2024
https://dl.acm.org/doi/10.1145/3678173
Avci HNelson BSong EWächter A(2023)Using Cache or Credit for Parallel Ranking and SelectionACM Transactions on Modeling and Computer Simulation10.1145/361829933:4(1-28)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3618299
Maqbool FMalik AMahmood ID'Angelo GRisco Martín JBesada EDe Rango F(2018)SEECSSimProceedings of the 22nd International Symposium on Distributed Simulation and Real Time Applications10.5555/3330299.3330334(263-269)Online publication date: 15-Oct-2018
https://dl.acm.org/doi/10.5555/3330299.3330334
McGinnis LRose O(2017)History and perspective of simulation in manufacturingProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242206(1-13)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242206
McGinnis LRose O(2017)History and perspective of simulation in manufacturing2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8247801(385-397)Online publication date: Dec-2017
https://doi.org/10.1109/WSC.2017.8247801
Iugan LNicolescu GBoucheneb Hde Rango FRisco Martín J(2016)Rollback-based simulation for the design of continuous/discrete simulation toolsProceedings of the Summer Computer Simulation Conference10.5555/3015574.3015606(1-8)Online publication date: 24-Jul-2016
https://dl.acm.org/doi/10.5555/3015574.3015606
Jafer SLiu QWainer G(2013)Synchronization methods in parallel and distributed discrete-event simulationSimulation Modelling Practice and Theory10.1016/j.simpat.2012.08.00330(54-73)Online publication date: Jan-2013
https://doi.org/10.1016/j.simpat.2012.08.003
Chetlur MWilsey P(2009)Causality information and proactive cancellation mechanismsConcurrency and Computation: Practice and Experience10.1002/cpe.139921:11(1483-1503)Online publication date: 11-Feb-2009
https://doi.org/10.1002/cpe.1399
Gheorghe LNicolescu GBoucheneb H(2008)Semantics for Rollback-Based Continuous/Discrete Simulation2008 IEEE International Behavioral Modeling and Simulation Workshop10.1109/BMAS.2008.4751250(106-111)Online publication date: Sep-2008
https://doi.org/10.1109/BMAS.2008.4751250
Ellis HMorelli Rde Lanerolle TDamon JRaye J(2007)Can humanitarian open-source software development draw new students to CS?ACM SIGCSE Bulletin10.1145/1227504.122749539:1(551-555)Online publication date: 7-Mar-2007
https://dl.acm.org/doi/10.1145/1227504.1227495
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Wolf: supporting impact analysis activities in distributed software development

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Wolf: supporting impact analysis activities in distributed software development

Analysis of Competing Hypothesis for Investigating Lone Wolf Terrorist

Wolf sheep predation: reimplementing a predator-prey ecosystem model as an instructional exercise in agent-based modeling

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