Early experience on using glideinWMS in the cloud

Cloud computing is steadily gaining traction both in commercial and research worlds, and there seems to be significant potential to the HEP community as well. However, most of the tools used in the HEP community are tailored to the current computing model, which is based on grid computing. One such...

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Published inJournal of physics. Conference series Vol. 331; no. 6; pp. 062014 - 6
Main Authors Andrews, W, Bockelman, B, Bradley, D, Dost, J, Evans, D, Fisk, I, Frey, J, Holzman, B, Livny, M, Martin, T, McCrea, A, Melo, A, Metson, S, Pi, H, Sfiligoi, I, Sheldon, P, Tannenbaum, T, Tiradani, A, Würthwein, F, Weitzel, D
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 23.12.2011
Subjects
Benchmarks
Cloud computing
Clouds
Communities
Computational grids
Computer programs
Management systems
Physics
Software
Traction
Workload
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Summary:Cloud computing is steadily gaining traction both in commercial and research worlds, and there seems to be significant potential to the HEP community as well. However, most of the tools used in the HEP community are tailored to the current computing model, which is based on grid computing. One such tool is glideinWMS, a pilot-based workload management system. In this paper we present both what code changes were needed to make it work in the cloud world, as well as what architectural problems we encountered and how we solved them. Benchmarks comparing grid, Magellan, and Amazon EC2 resources are also included.
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ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/331/6/062014