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The time and state relationships in simulation modeling

Author:

Richard E. NanceAuthors Info & Claims

Communications of the ACM, Volume 24, Issue 4

Pages 173 - 179

https://doi.org/10.1145/358598.358601

Published: 01 April 1981 Publication History

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Cited By

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Hacaloglu TDemirors O(2023)An exploratory case study using events as a software size measureInformation Technology and Management10.1007/s10799-023-00394-y24:3(293-312)Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1007/s10799-023-00394-y
Ebert ADutta RMengersen KMira ARuggeri FWu P(2021)Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport TerminalJournal of the Royal Statistical Society Series C: Applied Statistics10.1111/rssc.1248770:3(770-792)Online publication date: 4-Jun-2021
https://doi.org/10.1111/rssc.12487
Alshareef AKim DSeo CZeigler B(2020)Activity diagrams between devs-based modeling & simulation and fuml-based model executionProceedings of the 2020 Summer Simulation Conference10.5555/3427510.3427543(1-12)Online publication date: 20-Jul-2020
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Index Terms

The time and state relationships in simulation modeling
1. Computing methodologies
  1. Modeling and simulation
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Process management

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Published In

Communications of the ACM Volume 24, Issue 4

Special issue on simulation modeling and statistical computing

April 1981

102 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/358598

Editors:
Robert L. Ashenhurst
The Univ. of Chicago, Chicago, IL
,
Nabil R. Adam
Rutgers Univ., Piscataway, NJ

Issue’s Table of Contents

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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Publication History

Published: 01 April 1981

Published in CACM Volume 24, Issue 4

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https://dl.acm.org/doi/10.1007/s10799-023-00394-y
Ebert ADutta RMengersen KMira ARuggeri FWu P(2021)Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport TerminalJournal of the Royal Statistical Society Series C: Applied Statistics10.1111/rssc.1248770:3(770-792)Online publication date: 4-Jun-2021
https://doi.org/10.1111/rssc.12487
Alshareef AKim DSeo CZeigler B(2020)Activity diagrams between devs-based modeling & simulation and fuml-based model executionProceedings of the 2020 Summer Simulation Conference10.5555/3427510.3427543(1-12)Online publication date: 20-Jul-2020
https://dl.acm.org/doi/10.5555/3427510.3427543
Xie XVerbraeck A(2020)A particle filter-based data assimilation framework for discrete event simulationsSimulation10.1177/003754971879846695:11(1027-1053)Online publication date: 18-Jun-2020
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Vicino DWainer GTrabes GSon YHaas P(2019)Investigation of versatile datatypes for representing time in discrete event simulationProceedings of the Winter Simulation Conference10.5555/3400397.3400618(2701-2712)Online publication date: 8-Dec-2019
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Vicino DWainer GTrabes G(2019)Investigation of Versatile Datatypes for Representing Time in Discrete Event Simulation2019 Winter Simulation Conference (WSC)10.1109/WSC40007.2019.9004689(2701-2712)Online publication date: Dec-2019
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DEVS in DSOL: adding devs operational semantics to a generic event-scheduling simulation environment

Object-oriented simulation: a modeling and programming perspective

Introduction to object-oriented discrete event simulation with the OOSimL language

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