Cloud Computing: Data-Intensive Computing and Scheduling

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As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms, and software used in cloud computing.

After a general introduction to the field, the text covers resource management, including scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It next explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are then presented. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm.

A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.

Publisher ‏ : ‎ Chapman and Hall/CRC
Publication date ‏ : ‎ 19 June 2019
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 232 pages
ISBN-10 ‏ : ‎ 0367380846
ISBN-13 ‏ : ‎ 978-0367380847
Item Weight ‏ : ‎ 363 g
Dimensions ‏ : ‎ 15.24 x 1.35 x 22.86 cm
Importer ‏ : ‎ Bookswagon, 2/13 Ansari Road, Daryaganj, New Delhi 110002, sales@bookswagon.com, 01140159253
Packer ‏ : ‎ Bookswagon, 2/13 Ansari Road, Daryaganj, New Delhi 110002, sales@bookswagon.com, 01140159253
Part of series ‏ : ‎ Chapman & Hall/CRC Numerical Analysis and Scientific Computing