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Cloud computing : = data-intensive c...
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Magoulès, F.
Cloud computing : = data-intensive computing and scheduling /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cloud computing :/ Frédéric Magoulès, Jie Pan and Fei Teng.
Reminder of title:
data-intensive computing and scheduling /
Author:
Magoulès, F.
other author:
Pan, Jie,
Published:
Boca Raton :CRC Press, : 2013.,
Description:
xxiii, 205 p. :ill. ; : 24 cm.;
Subject:
Cloud computing. -
ISBN:
9781466507821 (cloth) :
Cloud computing : = data-intensive computing and scheduling /
Magoulès, F.
Cloud computing :
data-intensive computing and scheduling /Frédéric Magoulès, Jie Pan and Fei Teng. - Boca Raton :CRC Press,2013. - xxiii, 205 p. :ill. ;24 cm. - Chapman & Hall/CRC numerical analysis and scientific computing series. - Chapman & Hall/CRC numerical analysis and scientific computing series..
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"--
ISBN: 9781466507821 (cloth) :NT2574
LCCN: 2012015478Subjects--Topical Terms:
716205
Cloud computing.
LC Class. No.: QA76.585 / .M34 2012
Dewey Class. No.: 004.6782
Cloud computing : = data-intensive computing and scheduling /
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"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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