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A data placement strategy in scientific cloud workflows
Future Generation Computer Systems
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments
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Early observations on the performance of Windows Azure
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Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
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Evaluating cloud computing in the NASA DESDynI ground data system
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Integrated data placement and task assignment for scientific workflows in clouds
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Cloud@Home: performance management components
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Concurrency and Computation: Practice & Experience
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Concurrency and Computation: Practice & Experience
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Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds
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Concurrency and Computation: Practice & Experience
Characterizing and profiling scientific workflows
Future Generation Computer Systems
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Users' Acceptance of Cloud Computing in Saudi Arabia: An Extension of Technology Acceptance Model
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Computational Engineering in the Cloud: Benefits and Challenges
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Dimensioning the virtual cluster for parallel scientific workflows in clouds
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DynamicCloudSim: simulating heterogeneity in computational clouds
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How to exploit grid infrastructures for federated cloud purposes with CLEVER
International Journal of Computational Science and Engineering
Supporting Scientific Collaboration: Methods, Tools and Concepts
Computer Supported Cooperative Work
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This paper explores the use of cloud computing for scientific workflows, focusing on a widely used astronomy application-Montage. The approach is to evaluate from the point of view of a scientific workflow the tradeoffs between running in a local environment, if such is available, and running in a virtual environment via remote, wide-area network resource access. Our results show that for Montage, a workflow with short job runtimes, the virtual environment can provide good compute time performance but it can suffer from resource scheduling delays and widearea communications.