Bounded cost algorithms for multivalued consensus using binary consensus instances

  • Authors:
  • Jialin Zhang;Wei Chen

  • Affiliations:
  • Tsinghua University, China;Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Beijing, China

  • Venue:
  • Information Processing Letters
  • Year:
  • 2009

Quantified Score

Hi-index 0.89

Visualization

Abstract

In this paper, we present two bounded cost algorithms that solve multivalued consensus using binary consensus instances. Our first algorithm uses @?log"2n@? number of binary consensus instances where n is the number of processes, while our second algorithm uses at most 2k@? binary consensus instances, where k@? is the maximum length of the binary representation of all proposed values in the run. Both algorithms are significant improvements over the previous algorithm in [A. Mostefaoui, M. Raynal, F. Tronel, From binary consensus to multivalued consensus in asynchronous message-passing systems, Information Processing Letters 73 (5-6) (2000) 207-212], where the number of binary consensus instances needed to solve one multivalued consensus is unbounded.