Distributed simulation: state-of-the-art and potential for operational research

被引:36
作者
Taylor, Simon J. E. [1 ]
机构
[1] Brunel Univ London, Dept Comp Sci, Modelling & Simulat Grp, Uxbridge UB8 3PH, Middx, England
关键词
Simulation; Distributed Simulation; Operational Research; e-Science; Big Data; Industry; 4.0; BIG DATA; WEB SERVICES; CLOUD; MANAGEMENT; FRAMEWORK; PARALLEL; ARCHITECTURE; INTERNET; SCIENCE; DESIGN;
D O I
10.1016/j.ejor.2018.04.032
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In Operational Research conventional simulation practices typically focus on the conceptualization, development and use of a single model simulated on a single computer by a single analyst. Since the late 1970s the field of Distributed Simulation has led research into how to speed up simulation and how to compose large-scale simulations consisting of many reusable models running using distributed computers. There have been significant advances in the theories and technologies underpinning Distributed Simulation and there have been major successes in defence, computer systems design and smart urban environments. However, from an Operational Research perspective, Distributed Simulation has had little impact on mainstream research and practice. To argue the potential benefits of Distributed Simulation for Operational Research, this article gives an overview of Distributed Simulation approaches and technologies as well as discussing the state-of-the-art of Distributed Simulation applications. It will investigate the potential advantages of Distributed Simulation for Operational Research and present a possible sustainable future, based on experiences from e-Science, that will help Operational Research meet future challenges such as those emerging from Big Data Analytics, Cyber-physical systems, Industry 4.0, Digital Twins and Smart environments. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码:1 / 19
页数:19
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