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Computing at the EDGE, Karakonstantis


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Цена: 6986.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Karakonstantis
Название:  Computing at the EDGE
ISBN: 9783030745356
Издательство: Springer
Классификация:



ISBN-10: 303074535X
Обложка/Формат: Hardback
Страницы: 224
Вес: 0.55 кг.
Дата издания: 04.10.2022
Язык: English
Издание: 1st ed. 2022
Иллюстрации: Vii, 218 p.
Размер: 160 x 241 x 19
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: New Challenges for Service Provision
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes solutions to the problems of energy efficiency, resiliency and cyber security in the domain of Edge Computing and reports on early deployments of the technology in commercial settings. This book takes a business focused view, relating the technological outcomes to new business opportunities made possible by the edge paradigm. Drawing on the experience of end user deploying prototype edge technology, the authors discuss applications in financial management, wireless management, and social networks. Coverage includes a chapter on the analysis of total cost of ownership, thereby enabling readers to calculate the efficiency gain for use of the technology in their business. * Provides a single-source reference to the state-of-the art of edge computing; * Describes how researchers across the world are addressing challenges relating to power efficiency, ease of programming and emerging cyber security threats in this domain; * Discusses total cost of ownership for applications in financial management and social networks; * Discusses security challenges in wireless management.
Дополнительное описание: Introduction.- How edge computing came into being.- Hardware challenges to enable power efficiency in cores and memories.- Developing new firmware.- Changes needed in the hypervisor to enable resilience in OpenStack.- Security challenges.- Use cases deplo



Intelligent Computing Paradigm and Cutting-edge Technologies

Автор: Lakhmi C. Jain; Sheng-Lung Peng; Basim Alhadidi; S
Название: Intelligent Computing Paradigm and Cutting-edge Technologies
ISBN: 3030385000 ISBN-13(EAN): 9783030385002
Издательство: Springer
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Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things.

Intelligent Computing Paradigm and Cutting-Edge Technologies: Proceedings of the Second International Conference on Innovative Computing and Cutting-E

Автор: Favorskaya Margarita N., Peng Sheng-Lung, Simic Milan
Название: Intelligent Computing Paradigm and Cutting-Edge Technologies: Proceedings of the Second International Conference on Innovative Computing and Cutting-E
ISBN: 3030654060 ISBN-13(EAN): 9783030654061
Издательство: Springer
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Chapter 1: Throat Microphone Speech Enhancement using Machine Learning Technique.- Chapter 2: Use of Artificial Nueral Network to Predict the Yield of Sinter Plant as a Function of Production Parameters.- Chapter 3: An Approach to Self-Reliant Smart Road using Piezoelectric Effect and Sensor Nodes.- Chapter 4: Using static and dynamic image maps built by Graphic Interchange Format (GIF) and Geographic Information System.- Chapter 5: (GIS) for project based learning air pollution in schools in Hanoi, Vietnam.- Chapter 6: Prediction of Autism Spectrum Disorder Using Feature Engineering for Machine Learning Classifiers.- Chapter 7: A Novel and Smart Parking System for the University Parking System.- Chapter 8: Role of M-Cord Computing Architecture for Over the Top (OTT) Services and Applications.- Chapter 9: Application of virtual reality and augmented reality technology for teaching Biology at High School in Vietnam.- Chapter 10: Internet of Things Based Gesture Controlled Wheel Chair for Physically Disabled.- Chapter 11: An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical discharge machining of Inconel X750.

Edge Computing: From Hype to Reality

Автор: Al-Turjman Fadi
Название: Edge Computing: From Hype to Reality
ISBN: 3319990608 ISBN-13(EAN): 9783319990606
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this book, contributors provide insights into the latest developments of Edge Computing/Mobile Edge Computing, specifically in terms of communication protocols and related applications and architectures. The book provides help to Edge service providers, Edge service consumers, and Edge service developers interested in getting the latest knowledge in the area. The book includes relevant Edge Computing topics such as applications; architecture; services; inter-operability; data analytics; deployment and service; resource management; simulation and modeling; and security and privacy. Targeted readers include those from varying disciplines who are interested in designing and deploying Edge Computing.Features the latest research related to Edge Computing, from a variety of perspectives;Tackles Edge Computing in academia and industry, featuring a variety of new and innovative operational ideas;Provides a strong foundation for researchers to advance further in the Edge Computing domain.

Fog Computing in the Internet of Things

Автор: Amir M. Rahmani; Pasi Liljeberg; J?rgo-S?ren Prede
Название: Fog Computing in the Internet of Things
ISBN: 3319862146 ISBN-13(EAN): 9783319862149
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Edge Computing: A Primer

Автор: Jie Cao; Quan Zhang; Weisong Shi
Название: Edge Computing: A Primer
ISBN: 3030020827 ISBN-13(EAN): 9783030020828
Издательство: Springer
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Цена: 7685.00 р.
Наличие на складе: Поставка под заказ.

Описание: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained.

Intelligent Computing Paradigm and Cutting-Edge Technologies: Proceedings of the First International Conference on Innovative Computing and Cutting-Ed

Автор: Jain Lakhmi C., Peng Sheng-Lung, Alhadidi Basim
Название: Intelligent Computing Paradigm and Cutting-Edge Technologies: Proceedings of the First International Conference on Innovative Computing and Cutting-Ed
ISBN: 3030385035 ISBN-13(EAN): 9783030385033
Издательство: Springer
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things.

Energy Conservation Solutions for Fog-Edge Computing Paradigms

Автор: Tiwari Rajeev, Mittal Mamta, Goyal Lalit Mohan
Название: Energy Conservation Solutions for Fog-Edge Computing Paradigms
ISBN: 9811634505 ISBN-13(EAN): 9789811634505
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.

Mobile Edge Computing

Автор: Zhang Yan
Название: Mobile Edge Computing
ISBN: 3030839435 ISBN-13(EAN): 9783030839437
Издательство: Springer
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Цена: 4191.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management. The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.

Future Networks, Services and Management: Underlay and Overlay, Edge, Applications, Slicing, Cloud, Space, Ai/ML, and Quantum Computing

Автор: Toy Mehmet
Название: Future Networks, Services and Management: Underlay and Overlay, Edge, Applications, Slicing, Cloud, Space, Ai/ML, and Quantum Computing
ISBN: 3030819604 ISBN-13(EAN): 9783030819606
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book describes the networks, applications, services of 2030 and beyond, their management. Expected future applications, services, and network and data center architectures to support these applications and services in the year 2030 and beyond, along with security, routing, QoS, and management architecture and capabilities are described.

Deep Learning and Edge Computing Solutions for High Performance Computing

Автор: Suresh A., Paiva Sara
Название: Deep Learning and Edge Computing Solutions for High Performance Computing
ISBN: 3030602672 ISBN-13(EAN): 9783030602673
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.

Energy Efficient Computation Offloading in Mobile Edge Computing

Автор: Chen
Название: Energy Efficient Computation Offloading in Mobile Edge Computing
ISBN: 3031168216 ISBN-13(EAN): 9783031168215
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions. Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book.

Deep Learning and Edge Computing Solutions for High Performance Computing

Автор: Suresh A., Paiva Sara
Название: Deep Learning and Edge Computing Solutions for High Performance Computing
ISBN: 3030602648 ISBN-13(EAN): 9783030602642
Издательство: Springer
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.


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