Dynamic task allocation in distributed computing systems by heuristic algorithms
by Deepak Garg; Paramjeet Singh
International Journal of Operational Research (IJOR), Vol. 21, No. 4, 2014

Abstract: Efficient task scheduling is a crucial step to achieve high performance for multiprocessor platform. In a distributed computing system (DCS) the tasks of a program must be assigned dynamically to the heterogeneous processors to utilise the computational capabilities and resources of the system efficiently. In this article, the problem of finding an optimal dynamic assignment of a modular program for multiprocessor system is analysed. This paper deals with dynamic task assignment problem for allocating m tasks of a distributed program to n heterogeneous processors (m >>> n) with effect to minimise the total cost of the program. This allocation permits each task to be migrated from one processor to another during the execution of the program. The dynamic task allocation model is developed by considering three different categories including the effect of processor relative speed. This development implies the coupling of logical modelling and statistical notions. We design the mathematical model and study the phase wise execution cost (EC), inter-task communication cost (ITCC), migration cost (MC) and residence cost (RC) of each task with respect to each processor in the form of matrices.

Online publication date: Tue, 25-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com