Dynamic Multiplexing and High-Performance Modeling in Distributed Simulation

Author:

Lee Jong S.1,Zeigler Bernard P.2

Affiliation:

1. School of Computer Science and Engineering, Inha University #253, Yonghyun-Dong, Nam-Ku, Incheon 402-751, South Korea,

2. Arizona Center for Integrative Modeling and Simulation, Electrical and Computer Engineering Department, University of Arizona, Tucson, AZ 85721

Abstract

This article reviews existing message traffic reduction schemes and proposes a dynamic multiplexing approach as an efficient message traffic reduction scheme. This approach is based on a dynamic encoding of the joint output of sender components into a single message and is applicable to a model involving distributed components moving and interacting in multidimensional space by combining with predictive interest-based quantization. This article applies this approach to a projectile/missile application with realistic multidimensional dynamics. The authors investigate the dependence of simulation accuracy and required network bandwidth on the number of active components and basic time granule. Analysis and empirical data clearly indicate the advantages of dynamic multiplexing in saving communication and computation resources in a large-scale distributed system.

Publisher

SAGE Publications

Subject

Computer Graphics and Computer-Aided Design,Modeling and Simulation,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementation of the submarine diving simulation in a distributed environment;International Journal of Naval Architecture and Ocean Engineering;2012-09-30

2. Implementation of the submarine diving simulation in a distributed environment;International Journal of Naval Architecture and Ocean Engineering;2012-09

3. A binary partition-based matching algorithm for Data Distribution Management in a High-level Architecture-based distributed simulation;SIMULATION;2012-08-09

4. Research on validation method for complex simulation systems;2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing;2008-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3