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Optimizing Continuous Media Delivery by Multiple Distributed Servers to Multiple Clients Using a Genetic Algorithm

机译:使用遗传算法优化多个分布式服务器对多个客户端的连续媒体传递

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In this paper we explore the potential of a VoD system that is based on a paradigm that has been recently proposed: that of combining many distributed servers to handle the delivery of each requested media. When faced with a system comprised of N servers and M clients, the problems to be addressed are: (ⅰ) how to split the delivery task among different servers and (ⅱ) how to pair clients and servers, the objective being to minimize the access time of the clients. To this end, we present an analytical framework that enables the division of the delivery process for each client in a distributed manner. This framework is coupled with a genetic algorithm that enables an optimal or near-optimal solution to the problem of pairing clients and servers, in a small number of generations. The paper is concluded by a rigorous study of a N-servers, M-clients system that answers a number of important questions like, what is the quality of service achieved and how our proposed system behaves under increased load.
机译:在本文中,我们探讨了基于近期提议的范例的VOD系统的潜力:将许多分布式服务器组合以处理每个请求媒体的传送。当面对由N个服务器和M个客户端组成的系统时,要解决的问题是:(Ⅰ)如何将交付任务分开,不同服务器和(Ⅱ)如何配对客户端和服务器,目标是最小化访问客户的时间。为此,我们介绍了一个分析框架,其能够以分布式方式为每个客户端划分交付过程。该框架与遗传算法耦合,使得能够对客户端和服务器的问题的最佳或近最佳解决方案,少量几代人。本文通过对N-Servers的严格研究,M-Clients系统进行了严格的研究,这些系统回答了许多重要问题,如,所取得的服务质量是什么以及我们所提出的系统在增加的负荷增加下的行为。

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