Cloud Computing : Data-Intensive Computing and Scheduling / Frederic Magoules, Jie Pan, Fei Teng.

By:

Magoulès, F. (Frédéric) [autor]

Contributor(s):

Material type: Text

TextSeries: Chapman & Hall/CRC numerical analysis and scientific computingPublication details: Boca Raton : CRC Press, ©2013Edition: 1a ediciónDescription: xxiii, 205 páginas : ilustraciones ; 24 x 16 centímetrosContent type:

texto

Media type:

sin medio

Carrier type:

volumen

ISBN:

9781466507821 (hardback)

Subject(s):

LOC classification:

QA 76 .585 M21 2013

Contents:

Overview of Cloud Computing -- Resource Scheduling for Cloud Computing -- Game Theoretical Allocation in a Cloud Datacenter -- Multidimensional Data Analysis in a Cloud Datacenter -- Data-Intensive Applications with MapReduce -- Large-Scale Multidimensional Data Aggregation -- Multidimensional Data Analysis Optimization -- Real-Time Scheduling with MapReduce Future for Cloud Computing

Summary: " 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."-- P. Web Editorial

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Libros para consulta en sala	Biblioteca Antonio Enriquez Savignac	Biblioteca Antonio Enriquez Savignac	COLECCIÓN RESERVA	QA 76 .585 M21 2013 (Browse shelf(Opens below))	1	No para préstamo		036959

Total holds: 0

Incluye bibliografía: páginas 187-202 e índice

" 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."-- P. Web Editorial

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Cloud Computing : Data-Intensive Computing and Scheduling / Frederic Magoules, Jie Pan, Fei Teng.