1 option
Temporal QoS management in scientific cloud workflow systems / by Xiao Liu, Yun Yang, Jinjun Chen.
- Format:
- Book
- Author/Creator:
- Liu, Xiao.
- Series:
- Elsevier insights.
- Elsevier insights
- Language:
- English
- Subjects (All):
- Cloud computing.
- Quality control.
- Physical Description:
- 1 online resource (155 p.)
- Edition:
- 1st edition
- Other Title:
- Temporal Quality of Service management in scientific cloud workflow systems
- Place of Publication:
- Waltham, Mass. : Elsevier Science, 2012.
- Language Note:
- English
- System Details:
- text file
- Summary:
- 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 w
- Contents:
- Front Cover; Temporal QoS Management in Scientific Cloud Workflow Systems; Copyright Page; Contents; Preface; Acknowledgements; About the Authors; 1 Introduction; 1.1 Temporal QoS in Scientific Cloud Workflow Systems; 1.2 Motivating Example and Problem Analysis; 1.2.1 Motivating Example; 1.2.2 Problem Analysis; 1.3 Key Issues of This Research; 1.4 Overview of This Book; 2 Literature Review and Problem Analysis; 2.1 Workflow Temporal QoS; 2.2 Temporal Consistency Model; 2.3 Temporal Constraint Setting; 2.4 Temporal Consistency Monitoring; 2.5 Temporal Violation Handling
- 3 A Scientific Cloud Workflow System4 Novel Probabilistic Temporal Framework; 4.1 Framework Overview; 4.2 Component I: Temporal Constraint Setting; 4.3 Component II: Temporal Consistency Monitoring; 4.4 Component III: Temporal Violation Handling; 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals; 5.1 Cloud Workflow Activity Durations; 5.2 Related Work and Problem Analysis; 5.2.1 Related Work; 5.2.2 Problem Analysis; 5.3 Statistical Time-Series-Pattern-Based Forecasting Strategy; 5.3.1 Statistical Time-Series Patterns; 5.3.2 Strategy Overview
- 5.3.3 Novel Time-Series Segmentation Algorithm: K-MaxSDev5.3.4 Forecasting Algorithms; 5.4 Evaluation; 5.4.1 Example Forecasting Process; 5.4.2 Comparison Results; 6 Temporal Constraint Setting; 6.1 Related Work and Problem Analysis; 6.1.1 Related Work; 6.1.2 Problem Analysis; 6.2 Probability-based Temporal Consistency Model; 6.2.1 Weighted Joint Normal Distribution for Workflow Activity Durations; 6.2.2 Probability-based Temporal Consistency Model; 6.3 Setting Temporal Constraints; 6.3.1 Calculating Weighted Joint Distribution; 6.3.2 Setting Coarse-grained Temporal Constraints
- 6.3.3 Setting Fine-grained Temporal Constraints6.4 Case Study; 7 Temporal Checkpoint Selection and Temporal Verification; 7.1 Related Work and Problem Analysis; 7.1.1 Related Work; 7.1.2 Problem Analysis; 7.2 Temporal Checkpoint Selection and Verification Strategy; 7.2.1 Probability Range for Statistically Recoverable Temporal Violations with Light-Weight Temporal Violation Handling Strategies; 7.2.2 Minimum Probability Time Redundancy; 7.2.3 Temporal Checkpoint Selection and Temporal Verification Process; 7.3 Evaluation; 7.3.1 Experimental Settings; 7.3.2 Experimental Results
- 8 Temporal Violation Handling Point Selection8.1 Related Work and Problem Analysis; 8.1.1 Related Work; 8.1.2 Problem Analysis; 8.2 Adaptive Temporal Violation Handling Point Selection Strategy; 8.2.1 Probability of Self-Recovery; 8.2.2 Temporal Violation Handling Point Selection Strategy; Temporal Violation Handling Point Selection Rule; Adaptive Modification Process for Probability Threshold; 8.3 Evaluation; 9 Temporal Violation Handling; 9.1 Related Work and Problem Analysis; 9.1.1 Related Work; 9.1.2 Problem Analysis; 9.2 Overview of Temporal Violation Handling Strategies
- 9.2.1 Temporal Violation Handling of Statistically Recoverable Temporal Violations
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 9786613611635
- 9781280581854
- 1280581859
- 9780123972958
- 0123972957
- OCLC:
- 778786621
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.