Optimization of resource reconfiguration for cloud-based multimedia applications

Xiaoming Nan, Yifeng He, L. Guan
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引用次数: 1

Abstract

The cloud-based multimedia applications have been increasingly adopted in recent years. The key challenge for the application providers is how to optimally reconfigure resources to cope with the time-varying workload. In this paper, we study the optimal resource reconfiguration for cloud-based multimedia applications to minimize the average round-trip-time (RTT). Specifically, we propose the optimal resource reconfiguration schemes for single-site cloud and multi-site cloud, respectively. In each case, we formulate and solve the average RTT minimization problem. Simulation results demonstrate that the proposed optimal resource reconfiguration schemes can optimally utilize cloud resources to achieve the minimal average RTT.
基于云的多媒体应用的资源重构优化
近年来,基于云的多媒体应用越来越多地被采用。应用程序提供者面临的主要挑战是如何以最佳方式重新配置资源,以应对时变的工作负载。在本文中,我们研究了基于云的多媒体应用的最佳资源重构,以最小化平均往返时间(RTT)。具体来说,我们分别提出了单站点云和多站点云中最优的资源重构方案。在每种情况下,我们都制定并解决了平均RTT最小化问题。仿真结果表明,所提出的优化资源重构方案能够最优地利用云资源,实现最小的平均RTT。
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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