Systems simulation and modeling for cloud computing and big data applications

Systems simulation and modeling for cloud computing and big data applications

by Fernandes, Steven L. Peter, J. Dinesh

Type Book
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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 …

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Title Statements

  • Full title :Systems simulation and modeling for cloud computing and big data applications / edited by J. Dinesh Peter and Steven L. Fernandes.

Summary

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.

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Edition Statements

  • Publication Date:2020.

Publication Statements

  • Publisher(s):Academic Press
  • Place of Publication:Place of publication not identified
  • Language:eng
  • Publication Date:2020.

Notes

Includes index.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9780128197806, 0128197803
  • oclc:on1142506340
  • LC Classification:QA76.9.C65
  • Dewey Decimal:003.3

Subjects

Writers

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