Reliability Assurance of Big Data in the Cloud

Cargando comentarios…

Envío gratis siempre

Comentarios

Cargando el resumen…

Por favor, inicia sesión para escribir un comentario.

Cargando comentarios…

2332946Reliability Assurance of Big Data in the Cloudhttps://www.gandhi.com.mx/reliability-assurance-of-big-data-in-the-cloud-9780128026687/phttps://gandhi.vtexassets.com/arquivos/ids/3760098/ea65f718-baf6-43d0-a50b-262b218d41ec.jpg?v=638385833939200000MXNMorgan KaufmannOutOfStock/Ebooks/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...2269146Reliability Assurance of Big Data in the Cloud00https://www.gandhi.com.mx/reliability-assurance-of-big-data-in-the-cloud-9780128026687/phttps://gandhi.vtexassets.com/arquivos/ids/3760098/ea65f718-baf6-43d0-a50b-262b218d41ec.jpg?v=638385833939200000OutOfStockMXN0DIEbook20149780128026687_W3siaWQiOiI0YjNkOTRmMS05NTdiLTRhNTAtYTdmNS1jNmYxODZlNmEwNGIiLCJsaXN0UHJpY2UiOjkzMCwiZGlzY291bnQiOjkzLCJzZWxsaW5nUHJpY2UiOjgzNywiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDEtMDhUMTc6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9780128026687_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.<ul><li>Captures data reliability with variable disk rates and compares virtual to physical disks</li><li>Offers methods for reducing cloud-based storage cost and energy consumption</li><li>Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches</li></ul>(*_*)9780128026687_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.<ul><li>Captures data reliability with variable disk rates and compares virtual to physical disks</li><li>Offers methods for reducing cloud-based storage cost and energy consumption</li><li>Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches</li></ul>...(*_*)9780128026687_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...9780128026687_Elsevier Science(*_*)9780128026687_Morgan Kaufmannlibro_electonico_5e20ff2a-a74e-3cb4-b03a-b009b3a08755_9780128026687;9780128026687_9780128026687Dong YuanInglésMéxicoMorgan Kaufmannhttps://getbook.kobo.com/koboid-prod-public/elsevierrefmonographs-epub-552f971c-8c31-47ac-bd83-2e5ec57a22f1.epub2014-12-09T00:00:00+00:00