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. © Springer-Verlag Berlin Heidelberg 2007.
Recommended Citation
P. Lindner et al., "Performance Prediction based Resource Selection in Grid Environments," Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 4782 LNCS, pp. 228 - 238, Springer, Jan 2007.
The definitive version is available at https://doi.org/10.1007/978-3-540-75444-2_26
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-354075443-5
International Standard Serial Number (ISSN)
1611-3349; 0302-9743
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Springer, All rights reserved.
Publication Date
01 Jan 2007
