9780128025727-0128025727-Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage

Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage

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Summary

Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage (ISBN-13: 9780128025727 and ISBN-10: 0128025727), written by authors Dong Yuan, Wenhao Li, Yun Yang, was published by Morgan Kaufmann in 2014. With an overall rating of 4.5 stars, it's a notable title among other Management Information Systems (Business Technology, Software, Computer Science, Databases & Big Data, Design & Architecture, Hardware & DIY, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Cloud Computing, Parallel Programming, Programming, Software, Web Design, Web Development & Design, Content Management, Internet & Social Media) books. You can easily purchase or rent Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage (Paperback) from BooksRun, along with many other new and used Management Information Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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