Adaptive server allocation for peer-assisted Video-on-Demand

Konstantin Pussep, Osama Abboud, Florian Gerlach, R. Steinmetz, T. Strufe
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引用次数: 12

Abstract

Dedicated servers are an undesirable but inevitable resource in peer-assisted streaming systems. Their provision is necessary to guarantee a satisfying quality of experience to consumers, yet they cause significant, and largely avoidable cost for the provider, which can be minimized. We propose two adaptive server allocation schemes that estimate the capacity situation and service demand of the system to adaptively optimize allocated resources. Extensive simulations support the efficiency of our approach, which, without considering any prior knowledge, allows achieving a competitive performance compared to systems that are well dimensioned using global knowledge.
对等辅助视频点播的自适应服务器分配
在对等辅助流媒体系统中,专用服务器是一种不受欢迎但不可避免的资源。它们的提供对于保证消费者满意的体验质量是必要的,但它们会给提供商带来巨大的、在很大程度上可以避免的成本,这是可以最小化的。提出了两种服务器自适应分配方案,通过对系统容量情况和服务需求的估计,实现资源的自适应优化分配。大量的模拟支持我们的方法的效率,该方法不考虑任何先验知识,与使用全局知识的良好维数系统相比,可以实现具有竞争力的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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