首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans >Multiple-Server Movie-Retrieval Strategies for Distributed Multimedia Applications: A Play-While-Retrieve Approach
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Multiple-Server Movie-Retrieval Strategies for Distributed Multimedia Applications: A Play-While-Retrieve Approach

机译:分布式多媒体应用程序的多服务器电影检索策略:播放时检索方法

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In this paper, we present a generalized approach to retrieve a long-duration movie requested using a network-based video-on-demand service infrastructure employing multiple servers. We design and analyze a play-while-retrieve (PWR) playback strategy for this multiserver environment such that the access time (waiting time for the clients) is minimized. For this strategy, we use both the single-installment and multi-installment retrieval strategies to analyze the performance of the service system. For the above-mentioned retrieval strategies, we explicitly derive closed-form expressions for a minimum access time. For the case of multi-installment retrieval strategy, we conduct asymptotic performance analysis that quantifies the ultimate performance bounds of our strategy. We demonstrate analytically the impact of a large-scale network, as well as the impact of indefinitely increasing the number of installments, on the performance of such a multiserver service system. We then address the problem of buffer management at the client site, which is a closely related issue that has a significant influence on the performance of the strategy, and also serves as a key issue in making the service system attractive for clients. We derive relationships that quantify the minimum amount of buffer expected at the client site to have a smooth presentation with this multiserver service structure. Finally, we perform simulation experiments to verify all our theoretical findings. In the experiments, we compare the performance of PWR strategy with that of play-after-retrieve strategy, and discuss certain important points that are crucial for implementing a real-life working multiserver service system.
机译:在本文中,我们提出了一种通用方法,该方法可以检索使用使用多台服务器的基于网络的视频点播服务基础结构所请求的长时电影。我们针对此多服务器环境设计并分析了边玩边玩(PWR)播放策略,以使访问时间(客户端的等待时间)最小化。对于此策略,我们同时使用单安装和多安装检索策略来分析服务系统的性能。对于上述检索策略,我们显式导出了最小访问时间的闭式表达式。对于多安装检索策略,我们进行渐近性能分析,以量化我们策略的最终性能界限。我们从分析上证明了大规模网络的影响以及无限增加的分期付款数量对这种多服务器服务系统性能的影响。然后,我们解决了客户端站点上的缓冲区管理问题,这是一个密切相关的问题,对策略的性能有重大影响,并且也是使服务系统对客户有吸引力的关键问题。我们推导了关系,该关系量化了期望在客户端站点上获得的最小缓冲区数量,以使该多服务器服务结构具有平滑的外观。最后,我们进行模拟实验以验证我们所有的理论发现。在实验中,我们将PWR策略的性能与检索后播放策略的性能进行了比较,并讨论了某些重要点,这些点对于实现现实生活中的多服务器服务系统至关重要。

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