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OverviewFull Product DetailsAuthor: Dong Yuan (Swinburne University of Technology, Melbourne, Australia) , Yun Yang (Swinburne University of Technology, Melbourne, Australia) , Jinjun Chen (University of Technology, Sydney, Australia) , Jinjun Chen (University of Technology, Sydney, Australia)Publisher: Elsevier Science Publishing Co Inc Imprint: Elsevier Science Publishing Co Inc Dimensions: Width: 15.20cm , Height: 0.70cm , Length: 22.90cm Weight: 0.180kg ISBN: 9780124077676ISBN 10: 0124077676 Pages: 128 Publication Date: 01 February 2013 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction 2. Data management and cost-effectiveness 3. Motivating example and research 4. Cost model of dataset storage in the cloud 5. Minimum cost benchmarking approaches 6. Cost-effective dataset storage strategies 7. Evaluations 8. ConclusionsReviews.this book does a good job at tackling a variety of complex subjects. It brings forward state-of-the-art concepts and elaborate algorithms, illustrates issues related to cost-effectiveness, and helps both cloud providers and users get a grip on the intricate world of cloud computing. --Help Net Security online, August 28, 2013 Cloud computing systems charge for both data storage and for calculating, say Yuan, Yang.and Chen., so there is a trade-off between storing large data sets in the cloud or deleting them and regenerating then each time they are needed. They suggest some approaches to figuring out which is cheaper. they cover motivating example and research issues, a cost model of data set storage in the cloud, minimum cost benchmarking approaches,. --ProtoView.com, January 2014 Cloud computing systems charge for both data storage and for calculating, say Yuan, Yang..and Chen.so there is a trade-off between storing large data sets in the cloud or deleting them and regenerating then each time they are needed. They suggest some approaches to figuring out which is cheaper. --Reference & Research Book News, December 2013 .this book does a good job at tackling a variety of complex subjects. It brings forward state-of-the-art concepts and elaborate algorithms, illustrates issues related to cost-effectiveness, and helps both cloud providers and users get a grip on the intricate world of cloud computing. --Help Net Security online, August 28, 2013 Cloud computing systems charge for both data storage and for calculating, say Yuan, Yang..and Chen.so there is a trade-off between storing large data sets in the cloud or deleting them and regenerating then each time they are needed. They suggest some approaches to figuring out which is cheaper. --Reference & Research Book News, December 2013 .this book does a good job at tackling a variety of complex subjects. It brings forward state-of-the-art concepts and elaborate algorithms, illustrates issues related to cost-effectiveness, and helps both cloud providers and users get a grip on the intricate world of cloud computing. --Help Net Security online, August 28, 2013 Author InformationDong Yuan is a postdoctoral research fellow in the Centre for Computing and Engineering Software Systems, Swinburne University of Technology. His research interests include: Parallel and Distributed Computing; Cloud and Grid Computing; Data Management; Workflow Technology; Scientific Applications and E-Science; Service Computing and BPM. Yun Yang received a Master of Engineering degree from The University of Science and Technology of China, Hefei, China, in 1987, and a PhD degree from The University of Queensland, Brisbane, Australia, in 1992, all in computer science. He is currently a full Professor in the Faculty of Information and Communication Technologies at Swinburne University of Technology, Melbourne, Australia. Prior to joining Swinburne as an Associate Professor in late 1999, he was a Lecturer and Senior Lecturer at Deakin University during 1996-1999. Before that, he was a Research Scientist at DSTC - Cooperative Research Centre for Distributed Systems Technology during 1993-1996. He also worked at Beihang University in China during 1987-1988. He has published about 200 papers on journals and refereed conferences. His research interests include software engineering; p2p, grid and cloud computing; workflow systems; service-oriented computing; Internet computing applications; and CSCW. Jinjun Chen received his PhD degree in Computer Science and Software Engineering from Swinburne University of Technology, Melbourne, Australia in 2007. He is currently an Associate Professor in the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia. His research interests include Scientific workflow management and applications, workflow management and applications in Web service or SOC environments, workflow management and applications in grid (service)/cloud computing environments, software verification and validation in workflow systems, QoS and resource scheduling in distributed computing systems such as cloud computing, service oriented computing, semantics and knowledge management, cloud computing. Tab Content 6Author Website:Countries AvailableAll regions |