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Load sharing in cluster service provision

Load sharing in cluster service provision

Anane, R., Anthony, R.J., Chao, K-M. and Younas, M. (2003) Load sharing in cluster service provision. In: Proceedings: 14th International Workshop on Database and Expert Systems Applications. IEEE Computer Society, Los Alamitos, California, USA, pp. 156-160. ISBN 0769519938 ISSN 1529-4188 (doi:10.1109/DEXA.2003.1232016)

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Abstract

The factors that are driving the development and use of grids and grid computing, such as size, dynamic features, distribution and heterogeneity, are also pushing to the forefront service quality issues. These include performance, reliability and security. Although grid middleware can address some of these issues on a wider scale, it has also become imperative to ensure adequate service provision at local level. Load sharing in clusters can contribute to the provision of a high quality service, by exploiting both static and dynamic information. This paper is concerned with the presentation of a load sharing scheme, that can satisfy grid computing requirements. It follows a proactive, non preemptive and distributed approach. Load information is gathered continuously before it is needed, and a task is allocated to the most appropriate node for execution. Performance and reliability are enhanced by the decentralised nature of the scheme and the symmetric roles of the nodes. In addition, the scheme exhibits transparency characteristics that facilitate integration with the grid.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: 14th International Workshop on Database and Expert Systems Applications
Additional Information: [1] This paper was first presented at the 14th International Workshop on Database and Expert Systems Applications (DEXA 2003), (DEXA’03), held from 1-5 September 2003 in Prague, Czech Republic.
Uncontrolled Keywords: grids, grid computing, middleware, load sharing, clusters
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/639

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