A distributed maximal scheduler for strong fairness

N/ACitations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Weak fairness guarantees that continuously enabled actions are executed infinitely often. Strong fairness, on the other hand, guarantees that actions that are enabled infinitely often (but not necessarily continuously) are executed infinitely often. In this paper, we present a distributed algorithm for scheduling actions for execution. Assuming weak fairness for the execution of this algorithm, the schedule it provides is strongly fair. Furthermore, this algorithm is maximal in that it is capable of generating any strongly fair schedule. This algorithm is the first strongly-fair scheduling algorithm that is both distributed and maximal. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Lang, M., & Sivilotti, P. A. G. (2007). A distributed maximal scheduler for strong fairness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4731 LNCS, pp. 358–372). Springer Verlag. https://doi.org/10.1007/978-3-540-75142-7_28

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free