Notice of Violation of IEEE Publication PrinciplesResource management and knapsack formulation in distributed multimedia networks

A. E. Lawabni, A. Tewfik
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引用次数: 1

Abstract

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
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
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
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