Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/54557

TitlePredicting the Performance of a GRID Environment: An Initial Effort to Increase Scheduling Efficiency
Author(s)Guerreiro, Nuno
Belo, Orlando
KeywordsGRID environments
Task scheduling optimization
Resource availability
Data mining
Performance evaluation models
Issue date1-Jan-2009
PublisherSpringer-Verlag Berlin
JournalLecture Notes in Computer Science
CitationGuerreiro, N., & Belo, O. (2009, December). Predicting the performance of a grid environment: An initial effort to increase scheduling efficiency. In International Conference on Future Generation Information Technology (pp. 112-119). Springer, Berlin, Heidelberg.
Abstract(s)GRID environments are privileged targets for computation-intensive problem solving in areas from weather forecasting to seismic analysis. Mainly composed by commodity hardware, these environments can deliver vast computational capacity, at relatively low cost. In order to take full advantage of their power we need to have efficient task schedulers with the ability to maximize resource effectiveness, shortening execution times. GRID schedulers must not only decide taking a snapshot of the GRID's status into account, but should also consider the output involved in past decisions. In this work, we intend to show how resource usage can be analyzed, through the use of data mining techniques, to predict performance availability of a GRID environment, as a preliminary work to increase scheduling efficiency as well as adequate resource provisioning.
TypeConference paper
URIhttp://hdl.handle.net/1822/54557
ISBN978-3-642-10508-1
e-ISBN978-3-642-10509-8
DOI10.1007/978-3-642-10509-8_14
ISSN0302-9743
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-642-10509-8_14#citeas
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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