多媒体点播网络中服务器定位与存储分配的遗传算法

SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications Pub Date : 2003-10-24 DOI:10.1109/TIC.2003.1249094

Sun-jin KIm, Mun-kee Choi

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引用次数: 5

摘要

我们提出了一种遗传算法(GA)来设计一个非分层和分散的多媒体点播(MOD)网络架构。基于成本分析优化MOD网络资源，包括服务器安装成本、程序存储成本和传输成本，同时考虑服务器位置和存储分配。在将提出的算法应用于所考虑的问题时，设计了许多组件来提高解的质量和计算效率:遗传表示;评价函数;遗传算子;过程。大量的计算仿真结果表明，该算法在合理的计算时间内提供了高质量的解。

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A genetic algorithm for server location and storage allocation in multimedia-on-demand network

We propose a genetic algorithm (GA) to design a non-hierarchical and decentralized multimedia-on-demand (MOD) network architecture. To optimize the MOD network resource based on cost analysis, including server installation cost, program storage cost, and transmission cost, both server location and storage allocation were considered. In applying the proposed algorithm to the problem considered, many of components are devised to improve solution quality and computational efficiency: genetic representation; evaluation function; genetic operators; procedure. The results of extensive computational simulations showed that the proposed algorithm provides high quality solutions within reasonable computation times.

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SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications

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