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Reliability assurance of big data in the cloud : cost-effective replication-based storage / Yun Yang, Dong Yuan, Wenhao Li ; Todd Green, acquiring editor ; Mark Rogers, designer.

By: Contributor(s): Material type: TextTextPublisher: Waltham, Massachusetts : Morgan Kaufmann, 2015Copyright date: ©2015Description: 1 online resource (107 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780128026687 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Reliability assurance of big data in the cloud : cost-effective replication-based storage.DDC classification:
  • 004.6782 23
LOC classification:
  • QA76.585 .Y364 2015
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA1000557
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA1000557
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA1000557
Total holds: 0

Enhanced descriptions from Syndetics:

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

Includes bibliographical references.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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