Reliability Assurance of Big Data in the Cloud

Yun Yang

ISBN 10: 0128025727 / ISBN 13: 9780128025727

Verlag: Elsevier Science Dez 2014, 2014

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 106 pp. Englisch.

Bestandsnummer des Verkäufers 9780128025727

Bibliografische Details

• Titel: Reliability Assurance of Big Data in the Cloud
• Verlag: Elsevier Science Dez 2014
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 0128025727
• ISBN-13: 9780128025727
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 230B x 154 H x 7 T Millimeter Breite: 230 mm, Höhe: 154 mm, Tiefe: 7 mm
• Gewicht: 189 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorinnen und Autoren

Yun Yang is currently a full professor in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. Prior to joining Swinburne in 1999 as an associate professor, he was a lecturer and senior lecturer at Deakin University, Australia, during 1996-1999. He has coauthored four books and published over 200 papers in journals and refereed conference proceedings. He is currently on the Editorial Board of IEEE Transactions on Cloud Computing. His current research interests include software technologies, cloud computing, p2p/grid/cloud workflow systems, and service-oriented computing.

Wenhao Li is currently a research fellow in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. His research interests include parallel and distributed computing, cloud and grid computing, workflow technologies, and data management in distributed computing environment.

Dong Yuan is currently a research fellow in School of Software and Electrical Engineering at Swinburne University of Technology, Melbourne, Australia. His research interests include data management in parallel and distributed systems, scheduling and resource management, grid and cloud computing.