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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/9898

Title: Applying the heterogeneity level metric in a distributed platform
???metadata.dc.creator???: Souza, Paulo S. L.
Histoshi, Fabio
Santana, Marcos J.
Santana, Regina H. C.
Bruschi, Sarita M.
Branco, Kalinka R. L. J. C.
Keywords: Heterogeneity
Load balancing
Cluster
Heterogeneidade
Balanceamento de carga
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Jun-2011
Citation: SOUZA, P. S. L. et al. Applying the heterogeneity level metric in a distributed platform. INFOCOMP: Journal of Computer Science, Lavras, v. 10, n. 2, p. 17-25, June 2011.
Abstract: Heterogeneity Level (HL) metric has been developed by our research-group to help scheduling algorithms to adapt themselves to the existent heterogeneity in the platforms. This paper presents our results considering the HL’s behaviour in a real adaptive scheduling. HL metric quantifies qualitative aspects from heterogeneity in order to provide efficient performances and lower cost to the execution in both heterogeneous and homogeneous platforms. HL use is investigated under different perspectives:CPU, memory, network and considering benchmarks results. A simple but effective adaptive scheduling using HL is proposed and its results point out to performance-gains around 53% when a non-adaptive scheduling algorithm is used. Our case studies show that the HL was efficient, flexible and easily used for scheduling policies.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/329
???metadata.dc.language???: eng
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