Reliability Assurance of Big Data in the Cloud

Download or read book Reliability Assurance of Big Data in the Cloud written by Yun Yang and published by Morgan Kaufmann. This book was released on 2014-12-09 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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