03219cam a22003737a 4500 17363853 OSt 20150408114201.0 120627s2012 maua b 001 0 eng d 2011277691 9780123970107 0123970105 (OCoLC)ocn761843513 BTCTA eng BTCTA YDXCP BWX UAT IXA CDX DLC lccopycat QA76.585 .L58 2012 004.6782 23 LXT Liu, Xiao. 41711 Temporal QoS management in scientific cloud workflow systems / Xiao Liu, Yun Yang, Jinjun Chen. Waltham, MA : Elsevier, c2012. xiv, 140 p. : ill. ; 23 cm. Elsevier insights Includes bibliographical references and index. Chapter 1 Introduction -- Chapter 2 Literature Review and Problem Analysis -- Chapter 3 A Scientific Cloud Workflow System -- Chapter 4 Novel Probabilistic Temporal Framework -- Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals -- Chapter 6 Temporal Constraint Setting -- Chapter 7 Temporal Checkpoint Selection and Temporal Verification -- Chapter 8 Temporal Violation Handling Point Selection -- Chapter 9 Temporal Violation Handling -- Chapter 10 Conclusions and Contribution Bibliography. 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. 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-- Cloud computing. 3972 Workflow Management. 41712 Chen, Jinjun. 41713 Yang, Yun. 41714 Elsevier insights. 37976 7 cbc copycat 1 ncip 20 y-gencatlg ddc DVD 32994 267494 0 2014-01-07 0 0 004.6782 LXT 2014-01-07 CL CL 2014-01-07 00:00:00 BOOK ddc 0