Flexible Grid service management through resource partitioning |
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Authors: | Bruno Volckaert Pieter Thysebaert Marc De Leenheer Filip De Turck Bart Dhoedt Piet Demeester |
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Affiliation: | (1) Department of Information Technology, Ghent University, IMEC, Sint-Pietersnieuwstraat 41, B-9000 Gent, Belgium |
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Abstract: | In this paper, a distributed and scalable Grid service management architecture is presented. The proposed architecture is
capable of monitoring task submission behaviour and deriving Grid service class characteristics, for use in performing automated
computational, storage and network resource-to-service partitioning. This partitioning of Grid resources amongst service classes
(each service class is assigned exclusive usage of a distinct subset of the available Grid resources), along with the dynamic
deployment of Grid management components dedicated and tuned to the requirements of a particular service class introduces
the concept of Virtual Private Grids. We present two distinct algorithmic approaches for the resource partitioning problem,
the first based on Divisible Load Theory (DLT) and the second built on Genetic Algorithms (GA). The advantages and drawbacks
of each approach are discussed and their performance is evaluated on a sample Grid topology using NSGrid, an ns-2 based Grid
simulator. Results show that the use of this Service Management Architecture in combination with the proposed algorithms improves
computational and network resource efficiency, simplifies schedule making decisions, reduces the overall complexity of managing
the Grid system, and at the same time improves Grid QoS support (with regard to job response times) by automatically assigning
Grid resources to the different service classes prior to scheduling. |
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Keywords: | Grid service management Virtual private Grid Service Grids |
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