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A prediction module to optimize scheduling in a grid computing environment

Maleeha, Kiran and Hassan Abdalla Hashim, Aisha and Yap Yee, Jiun and Lim Mei, Kuan (2008) A prediction module to optimize scheduling in a grid computing environment. In: Proceedings of the International Conference on Computer and Communication Engineering 2008 May 13-15, 2008 Kuala Lumpur, Malaysia, May 13-15, 2008, Kuala Lumpur, Malaysia.

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Heterogeneous computing environment such as grid computing allows sharing and aggregation of a wide variety of geographically distributed computational resources (such as supercomputers, clusters, data sources, people and storage systems) and present them as a single, unified resource for solving large-scale and data-intensive computing applications. A common problem arising in grid computing is to select the most efficient resource to run a particular program. Also users are required to reserve in advance the resources needed to run their program on the grid. At present the execution time of any program submission depends on guesswork by the user. This leads to inefficient use of resources, incurring extra operation costs such as idling queues or machines. Thus a prediction module was designed and developed to aid the user. This module estimates the execution time of a program by using aspects of static analysis, analytical benchmarking and compiler based approach. It consists of 4 main stages; each with its own functionality. An incoming program is categorized accordingly, parsed and then broken down into smaller units known as tokens. The complexity and relationship amongst these tokens are then analyzed and finally the execution time is estimated for the entire program that was submitted.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 2523/50162
Uncontrolled Keywords: Computing Environment, Computing applications, Computational resources
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited: 27 Apr 2016 15:40
Last Modified: 11 Sep 2020 12:12
URI: http://irep.iium.edu.my/id/eprint/50162

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