Optimal Algorithms for Probabilistic Solitude Detection on Anonymous Rings

✍ Scribed by Lisa Higham; David Kirkpatrick; Karl Abrahamson; Andrew Adler

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 340 KB
• Volume: 23
• Category: Article
• ISSN: 0196-6774
• DOI: 10.1006/jagm.1996.0828

✦ Synopsis

Probabilistic algorithms are developed for a basic problem in distributed computation, assuming anonymous, asynchronous, unidirectional rings of processors. The problem, known as Solitude Detection, requires that a nonempty subset of the processors, called contenders, determine whether or not there is exactly one contender. Monte Carlo algorithms are developed that err with probability bounded by a specified parameter ⑀ and exhibit either message or processor termination. The algorithms transmit an optimal expected number of bits, to within a constant factor. Their bit complexities display a surprisingly rich dependence on the kind of termination exhibited and on the processors' knowledge of the size of the ring. Two probabilistic tools are isolated and then combined in various ways to achieve all our algorithms.