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Localized job scheduling system using cooperative and system-centric scheduling policy for market-oriented grids

Bouyer, Asgarali and Abdullah, Abdul Hanan and Hoseinmokhtari, M. (2011) Localized job scheduling system using cooperative and system-centric scheduling policy for market-oriented grids. Scientific Research and Essays, 6 (17). pp. 3729-3750. ISSN 1992-2248

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Official URL: http://dx.doi.org/10.5897/SRE11.855

Abstract

In grid scheduling systems, a major challenge is to manage the consumers' job based on their Quality of Service (QoS) and provider nodes' satisfaction. Most of the capable job scheduling polices operate on the basis of meta-scheduling systems that may result in a complex management with overcrowding probability in market-oriented grids. Therefore, the need for an efficient job scheduling algorithm based on the local scheduling policy is vital to reduce overcrowding in the meta-scheduling system. This paper presents an efficient scheduling approach concerning the localization of job scheduling policy. This approach adapts appropriate computing nodes to jobs by taking their throughput into account and QoS requirements. The job management policy of the proposed scheduling approach focuses specially on increasing the job submission rate using accurate estimation procedure and completing the submitted jobs within defined deadline. Experiments were designed to study the performance of the proposed job scheduling approach. We compared the performance of the proposed approach with other popular algorithms and policies based on general and standard metrics. Results show an increase in the performance and user satisfaction criteria. Additionally, the overdue time for jobs which is a main concern in market-oriented grid computing systems was significantly improved.

Item Type:Article
Uncontrolled Keywords:cooperative-based scheduling, hierarchical job scheduling, market-oriented grid, quality of service
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:29247
Deposited By: Yanti Mohd Shah
Deposited On:05 Mar 2013 04:20
Last Modified:25 Mar 2019 08:06

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