Reliability Assurance of Big Data in the Cloud
Yun Yang, Wenhao Li, Dong Yuan
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.
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.
Year:
2014
Publisher:
Morgan Kaufmann
Language:
english
Pages:
107
ISBN 10:
0128025727
ISBN 13:
9780128025727
File:
PDF, 3.19 MB
IPFS:
,
english, 2014
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