Optimal computation of global sensitive functions in fast networks

  • Israel Cidon
  • Inder Gopal
  • Shay Kutten
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 486)

Abstract

The common practice in distributed algorithms research was to assume that the computation time is zero, and assign a cost only to the communication. This was justified at the times that the communication was the bottleneck of a network. However, lately there has been a dramatic increase in the capacity of communication links so that we can no longer make this assumption.

In this paper we find optimal algorithms for distributed computation of "global sensitive" functions in the case that the computation time is some given P, and the communication time is some given C. (Roughly speaking, a global sensitive function is one that depends on each of its inputs.)

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References

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Copyright information

© Springer-Verlag 1991

Authors and Affiliations

  • Israel Cidon
    • 1
  • Inder Gopal
    • 1
  • Shay Kutten
    • 1
  1. 1.IBM T. J. Watson Research CenterYorktown Heights

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