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Approximation algorithms for selecting network centers

  • Judit Bar-Ilan
  • David Peleg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 519)

Abstract

This abstract concerns the issue of allocating and utilizing centers in a distributed network, in its various forms. The abstract discusses the significant parameters of center allocation, defines the resulting optimization problems, and proposes several approximation algorithms for selecting centers and for distributing the users among them. We concentrate mainly on balanced versions of the problem, i.e., in which it is required that the assignment of clients to centers be as balanced as possible. The main results are constant ratio approximation algorithms for the balanced κ-centers and balanced κ-weighted centers problems, and logarithmic ratio approximation algorithms for the ρ-dominating set and the κ-tolerant set problems.

Keywords

Approximation Algorithm Span Tree Approximation Ratio Constant Approxi Balance Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Judit Bar-Ilan
    • 1
  • David Peleg
    • 2
  1. 1.Department of Mathematics and Computer ScienceUniversity of HaifaHaifaIsrael
  2. 2.Department of Applied Mathematics and Computer ScienceThe Weizmann InstituteRehovotIsrael

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