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Index
Cover image
Title page
Table of Contents
Copyright
Acknowledgements
About the Authors
Preface
1. Introduction
1.1 Scientific Applications in the Cloud
1.2 Key Issues of This Research
1.3 Overview of This Book
2. Literature Review
2.1 Data Management of Scientific Applications in Traditional Distributed Systems
2.2 Cost-Effectiveness of Scientific Applications in the Cloud
2.3 Data Provenance in Scientific Applications
2.4 Summary
3. Motivating Example and Research Issues
3.1 Motivating Example
3.2 Problem Analysis
3.3 Research Issues
3.4 Summary
4. Cost Model of Data Set Storage in the Cloud
4.1 Classification of Application Data in the Cloud
4.2 Data Provenance and DDG
4.3 Data Set Storage Cost Model in the Cloud
4.4 Summary
5. Minimum Cost Benchmarking Approaches
5.1 Static On-Demand Minimum Cost Benchmarking Approach
5.2 Dynamic On-the-Fly Minimum Cost Benchmarking Approach
5.3 Summary
6. Cost-Effective Data Set Storage Strategies
6.1 Data-Accessing Delay and Users’ Preferences in Storage Strategies
6.2 Cost-Rate-Based Storage Strategy
6.3 Local-Optimisation-Based Storage Strategy
6.4 Summary
7. Experiments and Evaluations
7.1 Experiment Environment
7.2 Evaluation of Minimum Cost Benchmarking Approaches
7.3 Evaluation of Cost-Effective Storage Strategies
7.4 Case Study of Pulsar Searching Application
7.5 Summary
8. Conclusions and Contributions
8.1 Summary of This Book
8.2 Key Contributions of This Book
Appendix A. Notation Index
Appendix B. Proofs of Theorems, Lemmas and Corollaries
Appendix C. Method of Calculating λ Based on Users’ Extra Budget
Bibliography
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