Hpc As A Cloud Service For Smart Grids Big Data
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Hpc As A Cloud Service For Smart Grids Big Data
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Author : Safae Bourhnane
language : en
Publisher:
Release Date : 2017
Hpc As A Cloud Service For Smart Grids Big Data written by Safae Bourhnane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Cloud computing categories.
Smart Grid (SG) is emerging as a promising technology leveraging energy-efficiency. In SG, electricity producers and consumers are equipped with sensors disseminating data in a real-time mode. These data fall within the realm of Big Data. To process SG Big Data, HPC (High-Performance-Computing) turns out indispensable. This thesis is two-fold: In the first part, we investigate Big Data acquisition via the deployment of a wireless sensor/actuator network that can be further optimized for real-world scalability. In the second part, we investigate the pros and cons of using Containers vs. VMs (Virtual Machines) for Big Data processing. Indeed, as Cloud Computing (CC) is getting more and more popular, it came clearer that virtualization is the key technology enabler behind it. Cloud services are usually provided via the instantiation of virtual machines (VMs). However, the latter have proven to consume a considerable amount of resources, namely memory. Also, the process of instantiating VMs is somehow heavy and usually takes more time which is of a direct impact on the overall performance of the system. As a promising alternative, containers are emerging to take over VMs as they consume significantly less resources, thus boosting system performance. Still, as any other new technology, containers introduce new challenges. In this thesis, we highlight the tradeoffs that one has to deal with when considering VMs and Containers. For HPC as a Cloud Service, we introduce a new hybrid approach that combines both containers and VMs. We led appropriate experiments on a real-world Cloud testbed, using Openstack, as a proof-of-concept.
Modeling And Simulation In Hpc And Cloud Systems
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Author : Joanna Kołodziej
language : en
Publisher: Springer
Release Date : 2018-01-30
Modeling And Simulation In Hpc And Cloud Systems written by Joanna Kołodziej and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-30 with Technology & Engineering categories.
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.
Big Data Application In Power Systems
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Author : Reza Arghandeh
language : en
Publisher: Elsevier
Release Date : 2017-11-27
Big Data Application In Power Systems written by Reza Arghandeh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-27 with Science categories.
Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. - Provides expert analysis of the latest developments by global authorities - Contains detailed references for further reading and extended research - Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics - Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data
Cloud Computing And Big Data
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Author : Weizhong Qiang
language : en
Publisher: Springer
Release Date : 2016-01-09
Cloud Computing And Big Data written by Weizhong Qiang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-09 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Cloud Computing and Big Data, CloudCom-Asia 2015, held in Huangshan, China, in June 2015. The 29 full papers and two keynote speeches were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on cloud architecture; applications; big data and social network; security and privacy.
Big Data And High Performance Computing
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Author : L. Grandinetti
language : en
Publisher: IOS Press
Release Date : 2015-10-20
Big Data And High Performance Computing written by L. Grandinetti and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-20 with Computers categories.
Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science
Pervasive Cloud Computing Technologies Future Outlooks And Interdisciplinary Perspectives
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Author : Grandinetti, Lucio
language : en
Publisher: IGI Global
Release Date : 2013-10-31
Pervasive Cloud Computing Technologies Future Outlooks And Interdisciplinary Perspectives written by Grandinetti, Lucio and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with Computers categories.
Technology trends may come and go, but cloud computing technologies have been gaining consideration in the commercial world due to its ability to provide on-demand access to resources, control the software environment, and supplement existing systems. Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives explores the latest innovations with cloud computing and the impact of these new models and technologies. This book will present case studies and research on the future of cloud computing technologies and its ability to increase connectivity of various entities of the world. It is an essential resource for technology practitioners, engineers, managers, and academics aiming to gain the knowledge of these novel and pervasive technologies.
Contemporary Issues In Communication Cloud And Big Data Analytics
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Author : Hiren Kumar Deva Sarma
language : en
Publisher: Springer Nature
Release Date : 2021-11-30
Contemporary Issues In Communication Cloud And Big Data Analytics written by Hiren Kumar Deva Sarma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Technology & Engineering categories.
This book presents the outcomes of the First International Conference on Communication, Cloud, and Big Data (CCB) held on December 18–19, 2020, at Sikkim Manipal Institute of Technology, Majitar, Sikkim, India. This book contains research papers and articles in the latest topics related to the fields like communication networks, cloud computing, big data analytics, and on various computing techniques. Research papers addressing security issues in above-mentioned areas are also included in the book. The research papers and articles discuss latest issues in the above-mentioned topics. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.
Big Data Analytics For Cloud Iot And Cognitive Computing
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Author : Kai Hwang
language : en
Publisher: John Wiley & Sons
Release Date : 2017-08-14
Big Data Analytics For Cloud Iot And Cognitive Computing written by Kai Hwang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Computers categories.
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
Handbook Of Research On Cloud Computing And Big Data Applications In Iot
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Author : Gupta, B. B.
language : en
Publisher: IGI Global
Release Date : 2019-04-12
Handbook Of Research On Cloud Computing And Big Data Applications In Iot written by Gupta, B. B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-12 with Computers categories.
Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.
Future Trends Of Hpc In A Disruptive Scenario
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Author : L. Grandinetti
language : en
Publisher: IOS Press
Release Date : 2019-09-27
Future Trends Of Hpc In A Disruptive Scenario written by L. Grandinetti and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.