Performance Analysis and Scheduling of Stochastic Fork-Join Jobs in a Multicomputer System

Kumar, Anurag and Shorey, Rajeev (1993) Performance Analysis and Scheduling of Stochastic Fork-Join Jobs in a Multicomputer System. In: IEEE Transactions on Parallel and Distributed Systems, 4 (10). 1147 -1164.

Preview

PDF Performance_Analysis.pdf Download (1MB)

Abstract

We model a parallel processing system comprising several homogeneous computers interconnected by a communication network. Jobs arriving to this system have a linear fork-join structure. Each fork of the job gives rise to a random number of tasks that can be processed independently on any of the computers. Since exact analysis of fork-join models is known to be intractable, we resort to obtaining analytical bounds to the mean job response time of the fork-join job. For jobs with a single fork-join and, probabilistic allocation of tasks of the job to the N processors, we obtain upper and lower bounds to the mean job response time. Upper bounds are obtained using the concept of associated random variables and are found to be a good approximation to the mean job response time. A simple lower bound is obtained by neglecting queueing delays. We also find two lower bounds that include queueing delays. For multiple fork-join jobs, we study an approximation based on associated random variables. Finally, two versions of the Join-the-Shortest-Queue (JSQ) allocation policy (i.e., JSQ by batch and JSQ by task) are studied and compared, via simulations and diffusion limits.

Item Type:	Journal Article
Publication:	IEEE Transactions on Parallel and Distributed Systems
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Fork-join parallelism;Lower/upper bounds;Performance evaluation;Queueing models;Stochastic scheduling;Task allocation policies
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	22 Aug 2008
Last Modified:	19 Sep 2010 04:26
URI:	http://eprints.iisc.ac.in/id/eprint/6786

Actions (login required)

View Item