Universiti Teknologi Malaysia Institutional Repository

Improving overhead computation and pre-processing times for grid scheduling system

Bouyer, Asgarali and Hoseyni, Mohammad javad and Abdullah, Abdul Hanan (2010) Improving overhead computation and pre-processing times for grid scheduling system. International Journal of Computer Science and Information Security, 8 (1). pp. 27-34. ISSN 1947-5500

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Official URL: http://arxiv.org/pdf/1005.0925v1

Abstract

Computational Grid is enormous environments with heterogeneous resources and stable infrastructures among other Internet-based computing systems. However, the managing of resources in such systems has its special problems. Scheduler systems need to get last information about participant nodes from information centers for the purpose of firmly job scheduling. In this paper, we focus on online updating resource information centers with processed and provided data based on the assumed hierarchical model. A hybrid knowledge extraction method has been used to classifying grid nodes based on prediction of jobs’ features. An affirmative point of this research is that scheduler systems don’t waste extra time for getting up-to-date information of grid nodes. The experimental result shows the advantages of our approach compared to other conservative methods, especially due to its ability to predict the behavior of nodes based on comprehensive data tables on each node.

Item Type:Article
Uncontrolled Keywords:component, job scheduling, hierarchical model, grid nodes modul, grid resource information center
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:37840
Deposited By:INVALID USER
Deposited On:30 Apr 2014 15:58
Last Modified:15 Feb 2017 09:18

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