[PDF] Hpc As A Cloud Service For Smart Grids Big Data eBook

Author : Safae Bourhnane
Publisher :
Page : 276 pages
File Size : 15,30 MB
Release : 2017
Category : Cloud computing
ISBN :

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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.

Author : Edson Borin
Publisher : Springer Nature
Page : 337 pages
File Size : 18,63 MB
Release : 2023-07-05
Category : Computers
ISBN : 3031297695

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This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components and aspects necessary to train these models via different types of services offered by cloud providers. Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.

Author : Sudip Misra
Publisher : Cambridge University Press
Page : 278 pages
File Size : 11,68 MB
Release : 2018-07-12
Category : Computers
ISBN : 110866833X

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This comprehensive text covers fundamental concepts of smart grid technologies, integrating the tools and techniques of cloud computing and data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management, information management, and security in the smart grid. The concepts of plug-in hybrid electric vehicle and virtual energy storage are explained in separate chapters. The text covers recent trends in cloud computing and data analytics in the field of smart grid. A glossary of important technical terms is provided for the benefit of the readers.

Author : Adam Vile
Publisher : Lulu.com
Page : 181 pages
File Size : 49,39 MB
Release : 2008-12-01
Category : Computers
ISBN : 095599070X

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This book is a guide for professionals, explaining the Grid, Data Grid, Caching, Virtualisation and Cloud Computing Landscape in a no-nonsense, informative manner. The focus is on the overall picture of all the technologies, how they overlap, their real world use, their patterns of use, and what commercial and open-source products are available.

Author : Siddhartha Kumar Khaitan
Publisher : Springer Science & Business Media
Page : 387 pages
File Size : 16,73 MB
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 3642326838

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The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.

Author : Hassan, Qusay F.
Publisher : IGI Global
Page : 543 pages
File Size : 30,7 MB
Release : 2016-07-05
Category : Computers
ISBN : 1522502882

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High-performance computing (HPC) describes the use of connected computing units to perform complex tasks. It relies on parallelization techniques and algorithms to synchronize these disparate units in order to perform faster than a single processor could, alone. Used in industries from medicine and research to military and higher education, this method of computing allows for users to complete complex data-intensive tasks. This field has undergone many changes over the past decade, and will continue to grow in popularity in the coming years. Innovative Research Applications in Next-Generation High Performance Computing aims to address the future challenges, advances, and applications of HPC and related technologies. As the need for such processors increases, so does the importance of developing new ways to optimize the performance of these supercomputers. This timely publication provides comprehensive information for researchers, students in ICT, program developers, military and government organizations, and business professionals.

Author : Feng Ye
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 13,90 MB
Release : 2018-08-20
Category : Technology & Engineering
ISBN : 1119240158

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A comprehensive resource that covers all the key areas of smart grid communication infrastructures Smart grid is a transformational upgrade to the traditional power grid that adds communication capabilities, intelligence and modern control. Smart Grid Communication Infrastructures is a comprehensive guide that addresses communication infrastructures, related applications and other issues related to the smart grid. The text shows how smart grid departs from the traditional power grid technology. Fundamentally, smart grid has advanced communication infrastructures to achieve two-way information exchange between service providers and customers. Grid operations in smart grid have proven to be more efficient and more secure because of the communication infrastructures and modern control. Smart Grid Communication Infrastructures examines and summarizes the recent advances in smart grid communications, big data analytics and network security. The authors – noted experts in the field – review the technologies, applications and issues in smart grid communication infrastructure. This important resource: Offers a comprehensive review of all areas of smart grid communication infrastructures Includes an ICT framework for smart grid Contains a review of self-sustaining wireless neighborhood that are network designed Presents design and analysis of a wireless monitoring network for transmission lines in smart grid Written for graduate students, professors, researchers, scientists, practitioners and engineers, Smart Grid Communication Infrastructures is the comprehensive resource that explores all aspects of the topic.

Author : Joanna Kołodziej
Publisher : Springer
Page : 171 pages
File Size : 45,44 MB
Release : 2018-01-30
Category : Technology & Engineering
ISBN : 3319737678

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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.

Author : C. Catlett
Publisher : IOS Press
Page : 260 pages
File Size : 30,33 MB
Release : 2013-10-22
Category : Computers
ISBN : 161499322X

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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.

Author : Nick Antonopoulos
Publisher : Springer
Page : 418 pages
File Size : 21,53 MB
Release : 2017-06-02
Category : Computers
ISBN : 3319546457

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This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.