Abstract
Deploying Grid technologies by distributing an application over several machines has been widely used for scientific simulations, which have large requirements for computational resources. The Grid Configuration Manager (GCM) is a tool developed to ease the management of scientific applications in distributed environments and to hide some of the complexities of Grids from the end-user. In this paper we present an extension to the Grid Configuration Manager in order to incorporate a performance based resource brokering mechanism. Given a pool of machines and a trace file containing information about the runtime characteristics of the according application, GCM is able to select the combination of machines leading to the lowest execution time of the application, taking machine parameters as well as the network interconnect between the machines into account. The estimate of the execution time is based on the performance prediction tool Dimemas. The correctness of the decisions taken by GCM is evaluated in different scenarios.
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Lindner, P., Gabriel, E., Resch, M.M. (2007). Performance Prediction Based Resource Selection in Grid Environments. In: Perrott, R., Chapman, B.M., Subhlok, J., de Mello, R.F., Yang, L.T. (eds) High Performance Computing and Communications. HPCC 2007. Lecture Notes in Computer Science, vol 4782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75444-2_26
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DOI: https://doi.org/10.1007/978-3-540-75444-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75443-5
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