Reliability Assurance of Big Data in the Cloud

This book PDF is perfect for those who love Computers genre, written by Yun Yang and published by Morgan Kaufmann which was released on 09 December 2014 with total hardcover pages 106. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Reliability Assurance of Big Data in the Cloud books below.

Reliability Assurance of Big Data in the Cloud
Reliability Assurance of Big Data in the Cloud
Author : Yun Yang
File Size : 44,6 Mb
Publisher : Morgan Kaufmann
Language : English
Release Date : 09 December 2014
ISBN : 9780128026687
Pages : 106 pages
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Reliability Assurance of Big Data in the Cloud by Yun Yang Book PDF Summary

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

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