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008 121226s2013 fluad ob 001 0 eng d
020 _a9780429112577
035 _a(OCoLC)813844857
040 _aFlBoTFG
_cFlBoTFG
082 _a004.6782
_bM211
090 _aQA76.585
_b.M34 2013
100 1 _aMagoules, Frederic, Pan, Jie and Teng, Fei
245 1 0 _aCloud Computing :
_bData-Intensive Computing and Scheduling
260 _aBoca Raton :
_bCRC Press,
_cc2013.
300 _a231 p. :
440 _aChapman & Hall/CRC Numerical Analysis and Scientific Computing
500 _aA Chapman & Hall book.
504 _aIncludes bibliographical references (p. 187-202) and index.
505 0 _a1. Overview of cloud computing -- 2. Resource scheduling for cloud computing -- 3. Game theoretical allocation in a cloud datacenter -- 4. Multi-dimensional data analysis in a cloud datacenter -- 5. Data intensive applications with MapReduce -- 6. Large-scale multi-dimensional data aggregation -- 7. Multi-dimensional data analysis optimization -- 8. Real-time scheduling with MapReduce -- 9. Future for cloud computing.
520 _aThis 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--
_cProvided by publisher.
530 _aAlso available in print edition.
538 _aMode of access: World Wide Web.
650 0 _aCloud computing.
650 0 _aParallel programs (Computer programs)
650 0 _aComputer scheduling.
655 7 _aElectronic books.
_2lcsh
776 1 _z9781466507821 (hardback)
856 4 0 _uhttp://marc.crcnetbase.com/isbn/9781466507838
_qebook
942 _2ddc
_cEBK
999 _c1031
_d1031