[PDF.73sl] Temporal QOS Management in Scientific Cloud Workflow Systems (Elsevier Insights)

Temporal QOS Management in Scientific Cloud Workflow Systems (Elsevier Insights)

[PDF.oo42] Temporal QOS Management in Scientific Cloud Workflow Systems (Elsevier Insights)

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 |  2012-03-08 |  2012-02-23 | Original language:English | PDF # 1 |  9.00 x.35 x6.00l,.48 | File type: PDF | 154 pages

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||About the Author|Xiao Liu received his PhD degree in Computer Science and Software Engineering from the Faculty of Information and Communication Technologies at Swinburne University of Technology, Melbourne, Australia in 2011. He received his Master and Bachelor

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying c...

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