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Temporal QOS Management in Scientific Cloud Workflow Systems
Jinjun Chen , Xiao Liu , Yun Yang
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.
- Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS)
- Offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud
- Improves the overall performance and usability of cloud workflow systems
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