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QoS-Aware Server Provisioning for Large-Scale Distributed Virtual Environments

机译:大规模分布式虚拟环境的QoS感知服务器配置

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Maintaining interactivity is one of the key challenges in distributed virtual environments (DVE) due to the large, heterogeneous Internet latency and the fact that clients in a DVE are usually geographically separated. Previous work in this area have dealt with optimizing interactivity performance given limited server resource. In this paper, we consider a new problem, termed the performance-constrained server provisioning, whose goal is to minimize the resource needed to achieve a pre-determined level of Quality of Service (QoS). We identify and formulate two variants of this new problem and show that they are both NP-hard via reductions to the set covering problem. We also propose several computationally efficient approximation algorithms for solving the problem. Via extensive simulation study, we show that the newly proposed algorithms that take into account inter-server dependencies significantly outperform the well-known set covering algorithm for both problem variants.
机译:维护交互性是分布式虚拟环境(DVE)中的主要挑战之一,这是因为Internet延迟大,异构性高,而且DVE中的客户端通常在地理位置上是分开的。在服务器资源有限的情况下,该领域的先前工作涉及优化交互性能。在本文中,我们考虑了一个新问题,即性能受限制的服务器配置,其目标是最大程度地减少实现预定质量的服务质量(QoS)所需的资源。我们确定并公式化了此新问题的两个变体,并通过减少集合覆盖问题来证明它们都是NP难解的。我们还提出了几种计算有效的近似算法来解决该问题。通过广泛的仿真研究,我们表明,考虑到服务器之间的依存关系而提出的新算法明显优于针对这两个问题变体的众所周知的覆盖算法。

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