A framework for allocating clients to rate-constrained multicast servers

  • Authors:
  • Zongming Fei;Mengkun Yang;Mostafa H. Ammar;Ellen W. Zegura

  • Affiliations:
  • Department of Computer Science, University of Kentucky, Lexington, KY 40506, USA;Department of Computer Science, University of Kentucky, Lexington, KY 40506, USA;College of Computing, Georgia Tech, Atlanta, GA 30332, USA;College of Computing, Georgia Tech, Atlanta, GA 30332, USA

  • Venue:
  • Computer Communications
  • Year:
  • 2003

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Abstract

Forming multiple multicast groups is a technique often used to deal with the problem of heterogeneous client capacities by allocating clients with different capacities to different groups. In this paper, we investigate the problem of allocating clients to constrained multicast servers, which, similar to clients, have different capacities. We explore several interesting issues caused by these constraints and propose a framework for generating optimal solutions to the allocation problem. We evaluate the method by simulation and show a substantial performance gain of our algorithm over those considering the server constraints separately.