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Cloud Computing: Data-Intensive Computing and Scheduling

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by Frederic Magoules & Jie Pan & Fei Teng
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Cloud Computing: Data-Intensive Computing and Scheduling by Frederic Magoules & Jie Pan & Fei Teng

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.

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Ebook Details
Pages: 231
Size: 6.4 MB
Publisher: CRC Press
Date published:   2012
ISBN: 9781466507838 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers
Nonfiction > Computers > Internet
Nonfiction > Mathematics > Number Systems

These authors have products in the following categories:

Nonfiction > Mathematics
Nonfiction > Science > Physics
Nonfiction > Technology > Engineering > Mechanical
Nonfiction > Mathematics > Number Systems
Nonfiction > Computers
Nonfiction > Computers > Internet
Nonfiction > Mathematics > Arithmetic

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