000			03219cam a22003737a 4500
001			17363853
003			OSt
005			20150408114201.0
008			120627s2012 maua b 001 0 eng d
010			_a 2011277691
020			_a9780123970107
020			_a0123970105
035			_a(OCoLC)ocn761843513
040			_aBTCTA _beng _cBTCTA _dYDXCP _dBWX _dUAT _dIXA _dCDX _dDLC
042			_alccopycat
050	0	0	_aQA76.585 _b.L58 2012
082	0	0	_a004.6782 _223 _bLXT
100	1		_aLiu, Xiao. _941711
245	1	0	_aTemporal QoS management in scientific cloud workflow systems / _cXiao Liu, Yun Yang, Jinjun Chen.
260			_aWaltham, MA : _bElsevier, _cc2012.
300			_axiv, 140 p. : _bill. ; _c23 cm.
490	1		_aElsevier insights
504			_aIncludes bibliographical references and index.
505	0		_aChapter 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.
520			_aCloud 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--
650		0	_aCloud computing. _93972
650		0	_aWorkflow _xManagement. _941712
700	1		_aChen, Jinjun. _941713
700	1		_aYang, Yun. _941714
830		0	_aElsevier insights. _937976
906			_a7 _bcbc _ccopycat _d1 _encip _f20 _gy-gencatlg
942			_2ddc _cDVD
999			_c32994 _d267494