Systems Simulation And Modeling For Cloud Computing And Big Data Applications

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Systems Simulation and Modeling for Cloud Computing and Big Data Applications

Author : Dinesh Peter
Publisher : Academic Press
ISBN 13 : 0128197803
Total Pages : 184 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Systems Simulation and Modeling for Cloud Computing and Big Data Applications by : Dinesh Peter

Download or read book Systems Simulation and Modeling for Cloud Computing and Big Data Applications written by Dinesh Peter and published by Academic Press. This book was released on 2020-02-26 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Modeling and Simulation in HPC and Cloud Systems

Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3319737678
Total Pages : 155 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Modeling and Simulation in HPC and Cloud Systems by : Joanna Kołodziej

Download or read book Modeling and Simulation in HPC and Cloud Systems written by Joanna Kołodziej and published by Springer. This book was released on 2018-01-30 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 the essential tool in science and engineering to substantiate the prediction and analysis of complex systems and natural phenomena. MS offers suitable abstractions to manage the complexity of analysing big data in various scientific and engineering domains. Unfortunately, big data problems are not always easily amenable to efficient MS over HPC (high performance computing). Further, MS communities may lack the detailed expertise required to exploit the full potential of HPC solutions, and HPC architects may not be fully aware of specific MS requirements. The main goal of the Summer School was to improve the participants’ practical skills and knowledge of the novel HPC-driven models and technologies for big data applications. The trainers, who are also the authors of this book, explained how to design, construct, and utilise the complex MS tools that capture many of the HPC modelling needs, from scalability to fault tolerance and beyond. In the final three chapters, the book presents the first outcomes of the school: new ideas and novel results of the research on security aspects in clouds, first prototypes of the complex virtual models of data in big data streams and a data-intensive computing framework for opportunistic networks. It is a valuable reference resource for those wanting to start working in HPC and big data systems, as well as for advanced researchers and practitioners.

High-Performance Modelling and Simulation for Big Data Applications

Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej

Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Strategic Engineering for Cloud Computing and Big Data Analytics

Author : Amin Hosseinian-Far
Publisher : Springer
ISBN 13 : 3319524917
Total Pages : 226 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Strategic Engineering for Cloud Computing and Big Data Analytics by : Amin Hosseinian-Far

Download or read book Strategic Engineering for Cloud Computing and Big Data Analytics written by Amin Hosseinian-Far and published by Springer. This book was released on 2017-02-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Simulation for Cyber-Physical Systems Engineering

Author : José L. Risco Martín
Publisher : Springer Nature
ISBN 13 : 3030519090
Total Pages : 451 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Simulation for Cyber-Physical Systems Engineering by : José L. Risco Martín

Download or read book Simulation for Cyber-Physical Systems Engineering written by José L. Risco Martín and published by Springer Nature. This book was released on 2020-11-07 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.

Systems Modeling: Methodologies and Tools

Author : Antonio Puliafito
Publisher : Springer
ISBN 13 : 3319923781
Total Pages : 315 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Systems Modeling: Methodologies and Tools by : Antonio Puliafito

Download or read book Systems Modeling: Methodologies and Tools written by Antonio Puliafito and published by Springer. This book was released on 2018-10-16 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that designers and practitioners must confront to ensure the reliability, availability, and performance of systems, with special focus on their dynamic behaviors and dependencies. Topics include network calculus, workload and scheduling; simulation, sensitivity analysis and applications; queuing networks analysis; clouds, federations and big data; and tools. This collection of recent research exposes system researchers, performance analysts, and practitioners to a spectrum of issues so that they can address these challenges in their work.

Big-Data Analytics and Cloud Computing

Author : Marcello Trovati
Publisher : Springer
ISBN 13 : 3319253131
Total Pages : 169 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big-Data Analytics and Cloud Computing by : Marcello Trovati

Download or read book Big-Data Analytics and Cloud Computing written by Marcello Trovati and published by Springer. This book was released on 2016-01-12 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Author : Richard Fujimoto
Publisher : Springer
ISBN 13 : 3319585444
Total Pages : 119 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Research Challenges in Modeling and Simulation for Engineering Complex Systems by : Richard Fujimoto

Download or read book Research Challenges in Modeling and Simulation for Engineering Complex Systems written by Richard Fujimoto and published by Springer. This book was released on 2017-08-18 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.

Guide to Modeling and Simulation of Systems of Systems

Author : Bernard P. Zeigler
Publisher : Springer
ISBN 13 : 3319641344
Total Pages : 400 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Guide to Modeling and Simulation of Systems of Systems by : Bernard P. Zeigler

Download or read book Guide to Modeling and Simulation of Systems of Systems written by Bernard P. Zeigler and published by Springer. This book was released on 2017-09-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-follow textbook provides an exercise-driven guide to the use of the Discrete Event Systems Specification (DEVS) simulation modeling formalism and the System Entity Structure (SES) simulation model ontology supported with the latest advances in software architecture and design principles, methods, and tools for building and testing virtual Systems of Systems (SoS). The book examines a wide variety of SoS problems, ranging from cloud computing systems to biological systems in agricultural food crops. This enhanced and expanded second edition also features a new chapter on DEVS support for Markov modeling and simulation. Topics and features: provides an extensive set of exercises throughout the text to reinforce the concepts and encourage use of the tools, supported by introduction and summary sections; discusses how the SoS concept and supporting virtual build and test environments can overcome the limitations of current approaches; offers a step-by-step introduction to the DEVS concepts and modeling environment features required to build sophisticated SoS models; describes the capabilities and use of the tools CoSMoS/DEVS-Suite, Virtual Laboratory Environment, and MS4 MeTM; reviews a range of diverse applications, from the development of new satellite design and launch technologies, to surveillance and control in animal epidemiology; examines software/hardware co-design for SoS, and activity concepts that bridge information-level requirements and energy consumption in the implementation; demonstrates how the DEVS formalism supports Markov modeling within an advanced modeling and simulation environment (NEW). This accessible and hands-on textbook/reference provides invaluable practical guidance for graduate students interested in simulation software development and cyber-systems engineering design, as well as for practitioners in these, and related areas.

Modeling and Processing for Next-Generation Big-Data Technologies

Author : Fatos Xhafa
Publisher : Springer
ISBN 13 : 3319091778
Total Pages : 516 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Modeling and Processing for Next-Generation Big-Data Technologies by : Fatos Xhafa

Download or read book Modeling and Processing for Next-Generation Big-Data Technologies written by Fatos Xhafa and published by Springer. This book was released on 2014-11-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Large-Scale Computing Techniques for Complex System Simulations

Author : Werner Dubitzky
Publisher : John Wiley & Sons
ISBN 13 : 1118130499
Total Pages : 220 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Large-Scale Computing Techniques for Complex System Simulations by : Werner Dubitzky

Download or read book Large-Scale Computing Techniques for Complex System Simulations written by Werner Dubitzky and published by John Wiley & Sons. This book was released on 2012-02-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized hardware are explored and developed to address the computational requirements arising in complex systems simulations. The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications. The intention is to identify new research directions in this field and to provide a communications platform facilitating an exchange of concepts, ideas and needs between the scientists and technologist and complex system modelers. On the application side, the book focuses on modeling and simulation of natural and man-made complex systems. On the computing technology side, emphasis is placed on the distributed computing approaches, but supercomputing and other novel technologies are also considered.

Resource Management for Big Data Platforms

Author : Florin Pop
Publisher : Springer
ISBN 13 : 3319448811
Total Pages : 516 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Resource Management for Big Data Platforms by : Florin Pop

Download or read book Resource Management for Big Data Platforms written by Florin Pop and published by Springer. This book was released on 2016-10-27 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Towards Intelligent Systems Modeling and Simulation

Author : Samsul Ariffin Abdul Karim
Publisher : Springer Nature
ISBN 13 : 303079606X
Total Pages : 439 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Towards Intelligent Systems Modeling and Simulation by : Samsul Ariffin Abdul Karim

Download or read book Towards Intelligent Systems Modeling and Simulation written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on 2021-09-17 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.

Cloud Computing and Big Data

Author : C. Catlett
Publisher : IOS Press
ISBN 13 : 161499322X
Total Pages : 260 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Cloud Computing and Big Data by : C. Catlett

Download or read book Cloud Computing and Big Data written by C. Catlett and published by IOS Press. This book was released on 2013-10-22 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.

Guide to Modeling and Simulation of Systems of Systems

Author : Bernard Zeigler
Publisher : Springer Science & Business Media
ISBN 13 : 0857298658
Total Pages : 330 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Guide to Modeling and Simulation of Systems of Systems by : Bernard Zeigler

Download or read book Guide to Modeling and Simulation of Systems of Systems written by Bernard Zeigler and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. The book examines a wide variety of Systems of Systems (SoS) problems, ranging from cloud computing systems to biological systems in agricultural food crops. Features: includes numerous exercises, examples and case studies throughout the text; presents a step-by-step introduction to DEVS concepts, encouraging hands-on practice to building sophisticated SoS models; illustrates virtual build and test for a variety of SoS applications using both commercial and open source DEVS simulation environments; introduces an approach based on activity concepts intrinsic to DEVS-based system design, that integrates both energy and information processing requirements; describes co-design modeling concepts and methods to capture separate and integrated software and hardware systems.

Data Analysis in the Cloud

Author : Domenico Talia
Publisher : Elsevier
ISBN 13 : 0128029145
Total Pages : 150 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Data Analysis in the Cloud by : Domenico Talia

Download or read book Data Analysis in the Cloud written by Domenico Talia and published by Elsevier. This book was released on 2015-09-15 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. Introduces data analysis techniques and cloud computing concepts Describes cloud-based models and systems for Big Data analytics Provides examples of the state-of-the-art in cloud data analysis Explains how to develop large-scale data mining applications on clouds Outlines the main research trends in the area of scalable Big Data analysis

Big Data and Smart Service Systems

Author : Xiwei Liu
Publisher : Academic Press
ISBN 13 : 0128120401
Total Pages : 232 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data and Smart Service Systems by : Xiwei Liu

Download or read book Big Data and Smart Service Systems written by Xiwei Liu and published by Academic Press. This book was released on 2016-11-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy