Lower bounds on communication complexity in distributed computer networks

  • Authors:
  • Prasoon Tiwari

  • Affiliations:
  • Univ. of Illinois at Urbana-Champaign, Urbana

  • Venue:
  • Journal of the ACM (JACM)
  • Year:
  • 1987

Quantified Score

Hi-index 0.00

Visualization

Abstract

The main result of this paper is a general technique for determining lower bounds on the communication complexity of problems on various distributed computer networks. This general technique is derived by simulating the general network by a linear array and then using a lower bound on the communication complexity of the problem on the linear array. Applications of this technique yield optimal bounds on the communication complexity of merging, ranking, uniqueness, and triangle-detection problems on a ring of processors. Nontrivial near-optimal lower bounds on the communication complexity of distinctness, merging, and ranking on meshes and complete binary trees are also derived.