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网络资源并行优化的纵横复合弹簧网络方法 被引量:2

A Crossbar Composite Spring-Net Approach to Parellel Optimization for Computer Networks Resources
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摘要 具有复杂社会动力学特性的计算机网络中 ,存在着许多难以求解的问题 .该文提出一种新的纵横复合弹簧网络模型和方法 ,对计算机网络资源的分布式优化问题建立了相应的数学物理模型及分布平行算法 ,将网络资源优化问题求解过程转变为对应的复合弹簧网络形变过程 .该模型和方法能刻画网络实体之间并发的复杂的社会交互行为 (竞争、协作和诱导等 ) ,能描述网络实体随局势的变化各自采取的动态策略和自治行为 ,并能体现出市场价格机制的作用 . This paper presents a new parallel approach based on crossbar composite spring net model, by which solving the resource assignment in computer networks is transformed into parallelly calculating the deformation of the corresponding crossbar composite spring net. The approach can deal with various complicated social interactions occurred in computer networks and describe the behavior dynamics involved in autonomous strategy adjustment among computer network entities, which may be formidably difficult problems to solve by using other traditional methods. The important role of market pricing mechanism during the optimization of resources assignment for computer networks can well be embodied by the proposed approach. An application of this approach to bandwidth assignment in broad networks is shown.
出处 《计算机学报》 EI CSCD 北大核心 2002年第3期313-319,共7页 Chinese Journal of Computers
基金 国家自然科学基金重点项目 (60 13 5 0 10 ) 国家"九七三"重点基础研究发展规划项目 (G19990 3 2 70 7) 国家自然科学基金(60 0 73 0 0 8) 清华大学智能技术和系统国家重点实验室开放课题基金 高校国家重点实验室访问学者基金资助和支持
关键词 纵横复合弹簧网络 计算机网络 并行算法 网络资源 并行优化 crossbar composite spring net,computer network,parallel algorithm, distributed problem solving
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参考文献6

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  • 4Shehory O,Kraus S..Methods for taks allocation via agent coalition formation.Artificial Intelligence,1998,101:165~200
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  • 7Shehory O,Kraus S,Yadgar O..Emergent cooperative goal-satisfaction in large-scale automated-agent systems.Artificial Intelligence,1999,110:1~55
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  • 10Shuai Dian-Xun,Feng Xiang.Distributed problem solving in multi-agent systems based on a new spring net approach.In:Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology,Beijing,China,2004,417~420

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