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.
ISBN: | 9780128025727 |
Publication date: | 11th December 2014 |
Author: | Yun Swinburne University of Technology, Melbourne, Australia Yang, Wenhao Swinburne University of Technology, Melbourne, Li |
Publisher: | Morgan Kaufmann Publishers In an imprint of Elsevier Science & Technology |
Format: | Paperback |
Pagination: | 106 pages |
Genres: |
Internet: general works Databases Enterprise software Distributed systems Parallel processing Business and Management |