Systems Simulation and Modeling for Cloud Computing and Big Data Applications

This book PDF is perfect for those who love Science genre, written by Dinesh Peter and published by Academic Press which was released on 26 February 2020 with total hardcover pages 182. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Systems Simulation and Modeling for Cloud Computing and Big Data Applications books below.

Systems Simulation and Modeling for Cloud Computing and Big Data Applications
Author : Dinesh Peter
File Size : 50,5 Mb
Publisher : Academic Press
Language : English
Release Date : 26 February 2020
ISBN : 9780128197806
Pages : 182 pages
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Systems Simulation and Modeling for Cloud Computing and Big Data Applications by Dinesh Peter Book PDF 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. Examines the methodology and requirements of benchmarking big data and cloud computing tools, advances in big data frameworks and benchmarks for large-scale data analytics, and frameworks for benchmarking and predictive analytics in big data deployment Discusses applications using big data benchmarks, such as BigDataBench, BigBench, HiBench, MapReduce, HPCC, ECL, HOBBIT, GridMix and PigMix, and applications using big data frameworks, such as Hadoop, Spark, Samza, Flink and SQL frameworks Covers development of big data benchmarks to evaluate workloads in state-of-the-practice heterogeneous hardware platforms, advances in modeling and simulation tools for performance evaluation, security problems and scalable cloud computing environments

Systems Simulation and Modeling for Cloud Computing and Big Data Applications

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

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