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Self-configuration in parallel processing

Self-configuration in parallel processing

Anthony, Richard (2005) Self-configuration in parallel processing. In: Proceedings: 16th International Workshop on Database and Expert Systems Applications. IEEE Computer Society, Los Alamitos, California, USA, pp. 175-180. ISBN 0769524249 (doi:10.1109/DEXA.2005.174)

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Abstract

Loosely-coupled environments, such as clusters and grids are increasingly popular platforms for parallel processing. These systems present highly dynamic environments, in which many sources of variability affect the run-time efficiency of tasks. This paper proposes an adaptive strategy for the run-time deployment of tasks of parallel applications in loosely-coupled systems; to continuously maintain efficiency despite the environmental variability. The approach centres around policy-based scheduling which is informed by contextual and environmental inputs such as the round-trip communication time between nodes and their processing performance. To demonstrate the effectiveness of the adaptive approach, a self configuring and self-optimising parallel application is presented

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: 16th International Workshop on Database and Expert Systems Applications
Additional Information: [1] This paper was first presented at the 16th International Conference on Database and Expert Systems Applications (DEXA 2005), (DEXA '05), held from 22-26 August 2005 in Copenhagen, Denmark. [2] ISSN: 1529-4188.
Uncontrolled Keywords: loosely-coupled systems, policy-based scheduling, parallel processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5550

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