Temporal Qos Management in Scientific Cloud Workflow Systems Contributor(s): Liu, Xiao (Author), Chen, Jinjun (Author), Yang, Yun (Author) |
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ISBN: 0123970105 ISBN-13: 9780123970107 Publisher: Elsevier OUR PRICE: $49.45 Product Type: Paperback - Other Formats Published: February 2012 |
Additional Information |
BISAC Categories: - Computers | Systems Architecture - Distributed Systems & Computing - Computers | Internet - General - Computers | Systems Architecture - General |
Dewey: 004.678 |
LCCN: 2011277691 |
Series: Elsevier Insights |
Physical Information: 0.33" H x 6" W x 9" (0.48 lbs) 154 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |