
Reliability Assurance of Big Data in the Cloud
Cost-Effective Replication-Based Storage
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With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.
Key Features
- Captures data reliability with variable disk rates and compares virtual to physical disks
- Offers methods for reducing cloud-based storage cost and energy consumption
- Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches
Readership
Researchers, educators, and practitioners in the area of Cloud computing, Cloud storage and distributed computing
Table of Contents
- About the Authors
- Preface
- Acknowledgments
- 1: Introduction
- Abstract
- 1.1. Data reliability in the Cloud
- 1.2. Background of Cloud storage
- 1.3. Key issues of research
- 1.4. Book overview
- 2: Literature review
- Abstract
- 2.1. Data reliability assurance in hardware
- 2.2. Data reliability assurance in software
- 2.3. Data transfer for distributed systems
- 2.4. Summary
- 3: Motivating example and problem analysis
- Abstract
- 3.1. Motivating example
- 3.2. Problem analysis
- 3.3. Summary
- 4: Generic data reliability model in the cloud
- Abstract
- 4.1. Properties of the data reliability model
- 4.2. Generic data reliability model
- 4.3. Summary
- 5: Minimum replication for meeting the data reliability requirement
- Abstract
- 5.1. The minimum replication calculation approach
- 5.2. Minimum replication benchmark
- 5.3. Evaluation of the minimum replication calculation approach
- 5.4. Summary
- 6: Cost-effective data reliability assurance for data maintenance
- Abstract
- 6.1. Proactive replica checking
- 6.2. Overview of PRCR
- 6.3. Working process of PRCR
- 6.4. Optimization algorithms in PRCR
- 6.5. Evaluation of PRCR
- 6.6. Summary
- 7: Cost-effective data transfer for data creation and data recovery
- Abstract
- 7.1. Determining the deadline for data creation and data recovery
- 7.2. Cloud network model
- 7.3. Energy consumption model for Cloud data transfer
- 7.4. Novel cost-effective data transfer strategy LRCDT
- 7.5. Evaluation of LRCDT
- 7.6. Summary
- 8: Conclusions and future work
- Abstract
- 8.1. Summary of this book
- 8.2. Key contributions of this book
- 8.3. Further discussion and future work
- Bibliography
- Appendix
- Index
Product details
- No. of pages: 106
- Language: English
- Copyright: © Morgan Kaufmann 2014
- Published: December 9, 2014
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780128025727
- eBook ISBN: 9780128026687
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