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

T. Duong, Suiping Zhou, Wentong Cai, Xueyan Tang, R. Ayani
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引用次数: 1

Abstract

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.
大规模分布式虚拟环境的qos感知服务器配置
维护交互性是分布式虚拟环境(DVE)中的关键挑战之一,因为分布式虚拟环境(DVE)中存在巨大的异构Internet延迟,而且DVE中的客户机通常在地理上是分开的。该领域以前的工作是在有限的服务器资源下优化交互性能。在本文中,我们考虑了一个新的问题,称为性能约束的服务器配置,其目标是最小化所需的资源,以达到预定的服务质量(QoS)水平。我们识别和表述了这个新问题的两个变体,并通过对集合覆盖问题的约简表明它们都是np困难的。我们还提出了几种计算效率高的近似算法来解决这个问题。通过广泛的模拟研究,我们表明,新提出的考虑服务器间依赖关系的算法在这两个问题变体上都明显优于众所周知的集覆盖算法。
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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