Can I read Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing) on EtoBox?

Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing) by Frederic Magoules, Jie Pan, Fei Teng is a nonfiction available to read on EtoBox.

What is Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing) about?

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 in

Who reads Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing)?

Author

Frederic Magoules, Jie Pan, Fei Teng

Publisher

CRC Press LLC

Published

2012

Language

EN

ISBN

9781466507838

Category

nonfiction

Subjects

Computer Science, Mathematics, Stem