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
Wenhao Li & Yun Yang
Reliability Assurance of Big Data in the Cloud [EPUB ebook]
Cost-Effective Replication-Based Storage
Reliability Assurance of Big Data in the Cloud [EPUB ebook]
Cost-Effective Replication-Based Storage
Köp den här e-boken och få 1 till GRATIS!
Språk Engelska ● Formatera EPUB ● ISBN 9780128026687 ● Utgivare Elsevier Science ● Publicerad 2014 ● Nedladdningsbara 3 gånger ● Valuta EUR ● ID 5657124 ● Kopieringsskydd Adobe DRM
Kräver en DRM-kapabel e-läsare