Strong interaction fairness via randomization
Journal
IEEE Transactions on Parallel and Distributed Systems
Journal Volume
9
Journal Issue
2
Pages
137-149
Date Issued
1998
Author(s)
Smolka, S.A.
Abstract
We present MULTI, a symmetric, distributed, randomized algorithm that, with probability one, schedules multiparty interactions in a strongly fair manner. To our knowledge, MULTI is the first algorithm for strong interaction fairness to appear in the literature. Moreover, the expected time taken by MULTI to establish an interaction is a constant not depending on the total number of processes in the system. In this sense, MULTI guarantees real-time response. MULTI makes no assumptions (other than boundedness) about the time it takes processes to communicate. It, thus, offers an appealing tonic to the impossibility results of Tsay and Bagrodia, and Joung concerning strong interaction fairness in an environment, shared-memory, or message-passing, in which processes are deterministic and the communication time is nonnegligible. Because strong interaction fairness is as strong a fairness condition that one might actually want to impose in practice, our results indicate that randomization may also prove fruitful for other notions of fairness lacking deterministic realizations and requiring real-time response. © 1998 IEEE.
Subjects
Committee coordination; Distributed algorithms; Multiparty interaction; Randomized algorithms; Strong interaction fairness; Weak interaction fairness
Other Subjects
Data communication systems; Data storage equipment; Distributed computer systems; Random processes; Real time systems; Response time (computer systems); Distributed algorithms; Multiparty interaction; Randomized algorithms; Algorithms
Type
journal article