Cloud Computing : Data-Intensive Computing and Scheduling Frederic Magoules, Jie Pan, Fei Teng. [Electronic resource] /
By: Magoulès, F. (Frédéric).
Contributor(s): Pan, Jie | Teng, Fei.
Material type:
TextSeries: Chapman & Hall/CRC numerical analysis and scientific computing series.Publisher: Boca Raton : CRC Press, 2012Description: xxiii, 205 p. : ill. ; Electronic resource (PDF).ISBN: 9781466507821 (hardback); 9781466507838 (ebook).Subject(s): Cloud computing | Parallel programs (Computer programs) | Computer scheduling | COMPUTERS / Internet / General | MATHEMATICS / General | MATHEMATICS / Number SystemsDDC classification: 004.6782 Other classification: COM060000 | MAT000000 | MAT021000 Online resources: Click here to view | Off-campus 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"--
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Electronic Book
|
Prof. G. K. Chadha Library
South Asian University |
004.6782 M211c (Browse shelf) | Not for loan | eb00000318 |
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"--