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Computation and Storage in the Cloud
Understanding the Trade-Offs
Innovative strategies and benchmarks for dataset storage of scientific applications
Dong Yuan (Author), Yun Yang (Author), Jinjun Chen (Author)
9780124077676
Paperback, published 1 February 2013
128 pages
22.9 x 15.1 x 1 cm, 0.18 kg
"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 and 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
Approx.114 pages
1. 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. Evaluations8. Conclusions
Subject Areas: Parallel processing [UYFP], Computer networking & communications [UT]
