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Systems simulation and modeling for ...

Fernandes, Steven L.

Systems simulation and modeling for cloud computing and big data applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems simulation and modeling for cloud computing and big data applicationsedited by J. Dinesh Peter and Steven L. Fernandes.
其他作者:	Peter, J. Dinesh.
出版者:	London :Academic Press,2020.
面頁冊數:	1 online resource.
附註:	Includes index.
標題:	Computer simulation.
電子資源:	https://www.sciencedirect.com/science/book/9780128197790
ISBN:	9780128197806 (electronic bk.)

Systems simulation and modeling for cloud computing and big data applications
Systems simulation and modeling for cloud computing and big data applications[electronic resource] /edited by J. Dinesh Peter and Steven L. Fernandes. - London :Academic Press,2020. - 1 online resource. - Advances in ubiquitous sensing applications for healthcare. - Advances in ubiquitous sensing applications for healthcare..

Includes index.

Includes bibliographical references and index.

Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.

ISBN: 9780128197806 (electronic bk.)Subjects--Topical Terms:

182122
Computer simulation.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.9.C65 / S97 2020

Dewey Class. No.: 003.3

Systems simulation and modeling for cloud computing and big data applications
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245 0 0 $a Systems simulation and modeling for cloud computing and big data applications $h [electronic resource] / $c edited by J. Dinesh Peter and Steven L. Fernandes.
260 $a London : $b Academic Press, $c 2020.
300 $a 1 online resource.
490 1 $a Advances in ubiquitous sensing applications for healthcare
500 $a Includes index.
504 $a Includes bibliographical references and index.
520 $a Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
650 0 $a Computer simulation. $3 182122
650 0 $a Cloud computing. $3 378527
650 0 $a Big data. $3 609582
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Peter, J. Dinesh. $3 710825
700 1 $a Fernandes, Steven L. $3 887214
830 0 $a Advances in ubiquitous sensing applications for healthcare. $3 896240
856 4 0 $u https://www.sciencedirect.com/science/book/9780128197790