违反IEEE出版原则的通知分布式多媒体网络中的资源管理和背包制定

A. E. Lawabni, A. Tewfik
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引用次数: 1

摘要

本文提出了在多个QoS维度上分配多个有限资源以满足多个应用的服务质量需求的问题。提出了一个数学模型来描述这类自适应问题的动态。该模型将该问题表述为一个多选择多维0-1背包问题(MMKP),一个NP-hard优化问题。然后提出了一种求解MMKP的启发式算法。实验结果表明,该算法平均能找到96%的最优解,优于其他的MMKP启发式算法。此外,所需的时间平均比其他基准试探法所需的时间少50%到70%。这两个属性使这种启发式成为实时多媒体应用程序的有力候选
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notice of Violation of IEEE Publication PrinciplesResource management and knapsack formulation in distributed multimedia networks
In this paper, the problem of allocating multiple finite resources to satisfy the quality of service (QoS) needs of multiple applications along multiple QoS dimensions is presented. A mathematical model that captures the dynamics of such adaptive problem is presented. This model formulates the problem as a multiple-choice multidimensional 0-1 knapsack problem (MMKP), an NP-hard optimization problem. A heuristic algorithm is then proposed to solve the MMKP. Experimental results demonstrate that our proposed algorithm finds 96% optimal solutions on average, and outperforms other heuristic algorithms for MMKP. Furthermore, the time required is on average 50% to 70% less than that required by other benchmark heuristics. These two properties make this heuristic a strong candidate for use in real-time multimedia applications
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