Reliability Assurance of Big Data in the Cloud

Reliability Assurance of Big Data in the Cloud

Cost-Effective Replication-Based Storage

1st Edition - December 9, 2014

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  • Paperback ISBN: 9780128025727
  • eBook ISBN: 9780128026687

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Description

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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