By Topic

Strong interaction fairness via randomization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yuh-Jzer Joung ; Dept. of Inf. Manage., Nat. Taiwan Univ., Taipei, Taiwan ; Smolka, S.A.

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

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:9 ,  Issue: 2 )