Resource Management and Quality Adaptation in Distributed Multimedia Networks

  • Authors:

  • Abed Elhamid Lawabni;Ahmed H. Tewfik

  • Affiliations:

  • University of Minnesota;University of Minnesota

  • Venue:
  • ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
  • Year:
  • 2005

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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 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 applications.