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Process Resource Allocation in Grid Computing using Priority Scheduler

by Mayank Kumar Maheshwari, Abhay Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 11
Year of Publication: 2012
Authors: Mayank Kumar Maheshwari, Abhay Bansal
10.5120/6954-9541

Mayank Kumar Maheshwari, Abhay Bansal . Process Resource Allocation in Grid Computing using Priority Scheduler. International Journal of Computer Applications. 46, 11 ( May 2012), 20-23. DOI=10.5120/6954-9541

@article{ 10.5120/6954-9541,
author = { Mayank Kumar Maheshwari, Abhay Bansal },
title = { Process Resource Allocation in Grid Computing using Priority Scheduler },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 11 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number11/6954-9541/ },
doi = { 10.5120/6954-9541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:29.142136+05:30
%A Mayank Kumar Maheshwari
%A Abhay Bansal
%T Process Resource Allocation in Grid Computing using Priority Scheduler
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 11
%P 20-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid Computing has emerged as an important new field focusing on resource sharing. One of the most challenging issues in Grid Computing is efficient scheduling of tasks. Load Balancing is a technique to improve parallelism, utilization of resources increasing throughput managing and to reduce response time through proper distribution of the tasks. Generally there are three type of phases related to Load balancing i. e. Information Collection, Decision Making, Data Migration. In this paper, we propose a Load balancing algorithm for optimal scheduling. It scheduled the task by minimum completion time and rescheduled by waiting time of each task to obtain load balance. This algorithm scheme tries to provide optimal solution so that it reduces the execution time and expected price for the execution of all the jobs in the grid system is minimized. Load balancing algorithms is of two types, static and dynamic. Our algorithms in this paper based on dynamic nature.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Computational Grid load Balancing Priority Scheduler Execution Cost Resource Monitoring.

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