Systems Simulation and Modeling for Cloud Computing and Big Data Applications

Produk Detail:
  • Author : Dinesh Peter
  • Publisher : Academic Press
  • Pages : 182 pages
  • ISBN : 0128197803
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Systems Simulation and Modeling for Cloud Computing and Big Data Applications

Download or Read online Systems Simulation and Modeling for Cloud Computing and Big Data Applications full in PDF, ePub and kindle. this book written by Dinesh Peter and published by Academic Press which was released on 26 February 2020 with total page 182 pages. We cannot guarantee that Systems Simulation and Modeling for Cloud Computing and Big Data Applications book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 Modeling for Cloud Computing and Big Data Applications
  • Author : Dinesh Peter,Steven L. Fernandes
  • Publisher : Academic Press
  • Release : 26 February 2020
GET THIS BOOK 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 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

Modeling and Simulation in HPC and Cloud Systems

Modeling and Simulation in HPC and Cloud Systems
  • Author : Joanna Kołodziej,Florin Pop,Ciprian Dobre
  • Publisher : Springer
  • Release : 30 January 2018
GET THIS BOOK Modeling and Simulation in HPC and Cloud Systems

This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big Data Applications Cost Action on “New Trends in Modelling and Simulation in HPC Systems,” which was held in Bucharest (Romania) on September 21–23, 2016. As such it offers a solid foundation for the development of new-generation data-intensive intelligent systems. Modelling and simulation (MS) in the big data era is widely considered

High Performance Modelling and Simulation for Big Data Applications

High Performance Modelling and Simulation for Big Data Applications
  • Author : Joanna Kołodziej,Horacio González-Vélez
  • Publisher : Springer
  • Release : 25 March 2019
GET THIS BOOK High Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of

Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks

Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks
  • Author : K. Martin Sagayam,Bharat Bhushan,Victor Hugo C. de Albuquerque,A. Diana Andrushia
  • Publisher : IGI Global
  • Release : 04 December 2021
GET THIS BOOK Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks

Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security

Strategic Engineering for Cloud Computing and Big Data Analytics

Strategic Engineering for Cloud Computing and Big Data Analytics
  • Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
  • Publisher : Springer
  • Release : 13 February 2017
GET THIS BOOK Strategic Engineering for Cloud Computing and Big Data Analytics

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book

Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems

Theory  Methodology  Tools and Applications for Modeling and Simulation of Complex Systems
  • Author : Lin Zhang,Xiao Song,Yunjie Wu
  • Publisher : Springer
  • Release : 21 September 2016
GET THIS BOOK Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems

This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this third volume of the set are organized in topical sections on Cloud technologies in simulation applications; fractional calculus with applications and simulations; modeling and simulation for energy, environment and climate; SBA virtual prototyping engineering technology;

Decision Sciences

Decision Sciences
  • Author : Raghu Nandan Sengupta,Aparna Gupta,Joydeep Dutta
  • Publisher : CRC Press
  • Release : 30 November 2016
GET THIS BOOK Decision Sciences

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are

Resource Management for Big Data Platforms

Resource Management for Big Data Platforms
  • Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
  • Publisher : Springer
  • Release : 27 October 2016
GET THIS BOOK Resource Management for Big Data Platforms

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling

Simulation and Modeling Methodologies Technologies and Applications

Simulation and Modeling Methodologies  Technologies and Applications
  • Author : Mohammad S. Obaidat,Tuncer Ören,Yuri Merkuryev
  • Publisher : Springer
  • Release : 26 October 2017
GET THIS BOOK Simulation and Modeling Methodologies Technologies and Applications

This Proceedings book reports on new and innovative solutions regarding methodologies and applications of modeling and simulation. It includes a set of selected, extended papers from the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2016), held in Lisbon, Portugal, from 29 to 31 July, 2016. The conference brought together researchers, engineers and practitioners interested in methodologies and applications of modeling and simulation. SIMULTECH 2016 received 76 submissions from 35 countries and all continents. After a double-blind paper review performed by the Program

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Research Challenges in Modeling and Simulation for Engineering Complex Systems
  • Author : Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal
  • Publisher : Springer
  • Release : 18 August 2017
GET THIS BOOK Research Challenges in Modeling and Simulation for Engineering Complex Systems

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to

Parallel Architecture Algorithm and Programming

Parallel Architecture  Algorithm and Programming
  • Author : Guoliang Chen,Hong Shen,Mingrui Chen
  • Publisher : Springer
  • Release : 05 October 2017
GET THIS BOOK Parallel Architecture Algorithm and Programming

This book constitutes the refereed proceedings of the 8th International Symposium on Parallel Architecture, Algorithm and Programming, PAAP 2017, held in Haikou, China, in June 2017. The 50 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 192 submissions. The papers deal with research results and development activities in all aspects of parallel architectures, algorithms and programming techniques.

Application of Intelligent Systems in Multi modal Information Analytics

Application of Intelligent Systems in Multi modal Information Analytics
  • Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
  • Publisher : Springer Nature
  • Release : 04 December 2021
GET THIS BOOK Application of Intelligent Systems in Multi modal Information Analytics

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal

Handbook of Integration of Cloud Computing Cyber Physical Systems and Internet of Things

Handbook of Integration of Cloud Computing  Cyber Physical Systems and Internet of Things
  • Author : Rajiv Ranjan,Karan Mitra,Prem Prakash Jayaraman,Lizhe Wang,Albert Y. Zomaya
  • Publisher : Springer Nature
  • Release : 04 December 2021
GET THIS BOOK Handbook of Integration of Cloud Computing Cyber Physical Systems and Internet of Things

This handbook covers recent advances in the integration of three areas, namely, cloud computing, cyber-physical systems, and the Internet of things which is expected to have a tremendous impact on our daily lives. It contains a total of thirteen peer-reviewed and edited chapters. This book covers topics such as context-aware cyber-physical systems, sustainable cloud computing, fog computing, and cloud monitoring; both the theoretical and practical aspects belonging to these topics are discussed. All the chapters also discuss open research challenges

Large Scale and Big Data

Large Scale and Big Data
  • Author : Sherif Sakr,Mohamed Gaber
  • Publisher : CRC Press
  • Release : 25 June 2014
GET THIS BOOK Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Advances in Mobile Cloud Computing and Big Data in the 5G Era
  • Author : Constandinos X. Mavromoustakis,George Mastorakis,Ciprian Dobre
  • Publisher : Springer
  • Release : 19 November 2016
GET THIS BOOK Advances in Mobile Cloud Computing and Big Data in the 5G Era

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art