Cloud Computing : data intensive computing and scheduling / Frederic Magoules, Jie Pan and Fei Teng.

By:

Magoules, F [author]

Contributor(s):

Material type: Text

TextLanguage: English Series: Chapman & Hall/CRC numerical analysis and scientific computing seriesPublication details: Boca Raton : CRC Press, 2012.Description: xxiii, 205 p. : ill. ; 24 cmISBN:

9781138583313

Subject(s):

DDC classification:

004.6782 MAG/C

Summary: "This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"--

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Technical Reference Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	SES	004.6782 MAG/C (Browse shelf(Opens below))	Available		9803

Total holds: 0

Includes bibliographical references (p. 187-202) and index.

"This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"--

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