Can intelligent optimisation techniques improve computing job scheduling in a Grid environment? review, problem and proposal

2.50
Hdl Handle:
http://hdl.handle.net/10547/270798
Title:
Can intelligent optimisation techniques improve computing job scheduling in a Grid environment? review, problem and proposal
Authors:
Huang, Wei; French, Tim; Maple, Carsten; Bessis, Nik
Abstract:
In the existing Grid scheduling literature, the reported methods and strategies are mostly related to high-level schedulers such as global schedulers, external schedulers, data schedulers, and cluster schedulers. Although a number of these have previously considered job scheduling, thus far only relatively simple queue-based policies such as First In First Out (FIFO) have been considered for local job scheduling within Grid contexts. Our initial research shows that it is worth investigating the potential impact on the performance of the Grid when intelligent optimisation techniques are applied to local scheduling policies. The research problem is defined, and a basic research methodology with a detailed roadmap is presented. This paper forms a proposal with the intention of exchanging ideas and seeking potential collaborators.
Citation:
Maple, C., Huang, W., French, T., and Bessis, N. (2006) 'Can intelligent optimisation techniques improve computing job scheduling in a Grid environment? Review, problem and proposal.' Proceedings of the UK e-Science all hand meeting, pp. 328-331
Publisher:
NeSC
Issue Date:
2006
URI:
http://hdl.handle.net/10547/270798
Additional Links:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.3273; http://www.allhands.org.uk/2006/proceedings/
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
0955398800
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorHuang, Weien_GB
dc.contributor.authorFrench, Timen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.contributor.authorBessis, Niken_GB
dc.date.accessioned2013-03-01T10:55:36Z-
dc.date.available2013-03-01T10:55:36Z-
dc.date.issued2006-
dc.identifier.citationMaple, C., Huang, W., French, T., and Bessis, N. (2006) 'Can intelligent optimisation techniques improve computing job scheduling in a Grid environment? Review, problem and proposal.' Proceedings of the UK e-Science all hand meeting, pp. 328-331en_GB
dc.identifier.isbn0955398800-
dc.identifier.urihttp://hdl.handle.net/10547/270798-
dc.description.abstractIn the existing Grid scheduling literature, the reported methods and strategies are mostly related to high-level schedulers such as global schedulers, external schedulers, data schedulers, and cluster schedulers. Although a number of these have previously considered job scheduling, thus far only relatively simple queue-based policies such as First In First Out (FIFO) have been considered for local job scheduling within Grid contexts. Our initial research shows that it is worth investigating the potential impact on the performance of the Grid when intelligent optimisation techniques are applied to local scheduling policies. The research problem is defined, and a basic research methodology with a detailed roadmap is presented. This paper forms a proposal with the intention of exchanging ideas and seeking potential collaborators.en_GB
dc.language.isoenen
dc.publisherNeSCen_GB
dc.relation.urlhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.3273en_GB
dc.relation.urlhttp://www.allhands.org.uk/2006/proceedings/en_GB
dc.subjectintelligent optimisationen_GB
dc.subjectGrid schedulingen_GB
dc.titleCan intelligent optimisation techniques improve computing job scheduling in a Grid environment? review, problem and proposalen
dc.typeConference papers, meetings and proceedingsen
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