Reliability Assurance of Big Data in the Cloud

  • ID: 3025259
  • Book
  • 106 Pages
  • Elsevier Science and Technology
1 of 4

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.

  • 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

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Note: Product cover images may vary from those shown
2 of 4
  1. Data Reliability in the Cloud
  2. Data Reliability Assurance
  3. Generic Data Reliability Model in the Cloud
  4. Meeting the Data Reliability Requirement
  5. Cost-Effective Data Reliability Assurance for Data Maintenance
  6. Cost-Effective Data Transfer for Data Creation and Data Recovery
  7. Conclusions
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
Yang, Yun
Yun Yang is currently a full professor in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. Prior to joining Swinburne in 1999 as an associate professor, he was a lecturer and senior lecturer at Deakin University, Australia, during 1996-1999. He has coauthored four books and published over 200 papers in journals and refereed conference proceedings. He is currently on the Editorial Board of IEEE Transactions on Cloud Computing. His current research interests include software technologies, cloud computing, p2p/grid/cloud workflow systems, and service-oriented computing.
Li, Wenhao
Wenhao Li is currently a research fellow in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. His research interests include parallel and distributed computing, cloud and grid computing, workflow technologies, and data management in distributed computing environment.
Yuan, Dong
Dong Yuan is currently a research fellow in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. His research interests include data management in parallel and distributed systems, scheduling and resource management, grid and cloud computing.
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
Adroll
adroll