ComputationandStorageintheCloud:UnderstandingtheTrade-Offs(ElsevierInsights)

ComputationandStorageintheCloud:UnderstandingtheTrade-Offs(ElsevierInsights)

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作者: Dong Yuan 著

出版社: Elsevier

出版时间: 2013-02

ISBN: 9780124077676

定价: 822.70

装帧: 平装

页数: 128页

正文语种: 英语

丛书: ElsevierInsights

分类: 外文古旧书>英文书>计算机与互联网

Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. It covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. It describes several novel strategies for storing application datasets in the cloud. It includes real-world case studies of scientific research applications. It covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. It describes several novel strategies for storing application datasets in the cloud. It includes real-world case studies of scientific research applications. Dong 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.
内容简介:
Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. It covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. It describes several novel strategies for storing application datasets in the cloud. It includes real-world case studies of scientific research applications. It covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. It describes several novel strategies for storing application datasets in the cloud. It includes real-world case studies of scientific research applications.
作者简介:
Dong 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.

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