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Distributed computing with advice: information sensitivity of graph coloring

Published: 01 March 2009 Publication History

Abstract

We study the problem of the amount of information (advice) about a graph that must be given to its nodes in order to achieve fast distributed computations. The required size of the advice enables to measure the information sensitivity of a network problem. A problem is information sensitive if little advice is enough to solve the problem rapidly (i.e., much faster than in the absence of any advice), whereas it is information insensitive if it requires giving a lot of information to the nodes in order to ensure fast computation of the solution. In this paper, we study the information sensitivity of distributed graph coloring.

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Published In

cover image Distributed Computing
Distributed Computing  Volume 21, Issue 6
March 2009
68 pages

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 March 2009

Author Tags

  1. Distributed computing
  2. Graph coloring
  3. Network algorithm

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