Cloud Computing - Data-Intensive Computing and Scheduling (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	June 2019
First published:	2013
Authors:	Frederic Magoules • Jie Pan • Fei Teng
Dimensions:	229 x 152 x 23mm (L x W x T)
Format:	Paperback
Pages:	232
ISBN-13:	978-0-367-38084-7
Categories:	Books > Computing & IT > Computer hardware & operating systems > Supercomputers Books > Computing & IT > Computer communications & networking > General
LSN:	0-367-38084-6
Barcode:	9780367380847

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