Temporal QOS Management in Scientific Cloud Workflow Systems

Autor: Xiao Liu

Limbă:

Legare: Carte broșată

Editura: Elsevier Science Publishing Co Inc

Disponibilitate: În depozitul extern

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265.70 lei

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud...

Informații despre carte

Autor

Xiao Liu

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

154

EAN

9780123970107

ISBN

0123970105

Enbook ID

04481308

Editura

Elsevier Science Publishing Co Inc

Greutate

226

Dimensiuni

153 x 228 x 9

Descriere completă

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 cloud computing infrastructures. "Temporal QOS Management in Scientific Cloud Workflow Systems" focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems. It explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS). It offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud. It improves the overall performance and usability of cloud workflow systems.

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Temporal QOS Management in Scientific Cloud Workflow Systems

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