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Issue title: Dynamic Computational Workflows: Discovery, Optimization and Scheduling
Article type: Research Article
Authors: Prodan, Radu
Affiliations: Institute of Computer Science, University of Innsbruck, Technikerstraße 21a, A-6020 Innsbruck, Austria. Tel.: +43 512 507 6445; Fax: +43 512 507 2758; E-mail: [email protected]
Abstract: We describe techniques to support the runtime execution of scientific workflows in the ASKALON Grid environment. We present a formal model and three middleware services that support in combination the effective execution in heterogeneous and dynamic Grid environments: performance prediction, scheduling, and enactment engine. We validate our techniques with concrete experimental results for two real-world applications executed in the Austrian Grid environment.
Keywords: Grid computing, scientific workflows, performance prediction, scheduling, enactment engine
Journal: Scientific Programming, vol. 15, no. 4, pp. 193-211, 2007
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