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Link to original content: https://doi.org/10.1007/3-540-54099-7_13
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Optimal computation of global sensitive functions in fast networks

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Distributed Algorithms (WDAG 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 486))

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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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Author information

Authors and Affiliations

  1. IBM T. J. Watson Research Center, 10598, Yorktown Heights, NY

    Israel Cidon, Inder Gopal & Shay Kutten

Authors
  1. Israel Cidon
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  2. Inder Gopal
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  3. Shay Kutten
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Editor information

Jan van Leeuwen Nicola Santoro

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© 1991 Springer-Verlag Berlin Heidelberg

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Cidon, I., Gopal, I., Kutten, S. (1991). Optimal computation of global sensitive functions in fast networks. In: van Leeuwen, J., Santoro, N. (eds) Distributed Algorithms. WDAG 1990. Lecture Notes in Computer Science, vol 486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54099-7_13

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  • DOI: https://doi.org/10.1007/3-540-54099-7_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54099-1

  • Online ISBN: 978-3-540-47405-0

  • eBook Packages: Springer Book Archive

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