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Edge Computing – EDGE 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Edge Computing – EDGE 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. The 7 full and 2 short papers presented in this volume were carefully reviewed and selected from 13 submissions. The conference proceeding EDGE 2020 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 426.00
1

Edge Computing – EDGE 2022 - - Bog - Springer International Publishing AG - Plusbog.dk

Edge Computing – EDGE 2022 - - Bog - Springer International Publishing AG - Plusbog.dk

This book constitutes the proceedings of the 6th International Conference on Edge Computing, EDGE 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The International Conference on Edge Computing (EDGE) aims to become a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 476.00
1

Edge Computing – EDGE 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Edge Computing – EDGE 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2021, held virtually as part of SCF 2021, held as a Virtual Event, December 10-14, 2021. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 18 submissions. The conference proceeding EDGE 2021 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 468.00
1

Applied Edge AI - - Bog - Taylor & Francis Ltd - Plusbog.dk

Applied Edge AI - - Bog - Taylor & Francis Ltd - Plusbog.dk

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

DKK 527.00
1

Edge Computing - D. Dharani - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing - D. Dharani - Bog - Taylor & Francis Ltd - Plusbog.dk

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: - - Discusses edge data storage security with case studies and blockchain integration with the edge computing system - - - Covers theoretical methods with the help of applications, use cases, case studies, and examples - - - Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption - - - Discusses real-time interfaces, devices, and simulators in detail -

DKK 884.00
1

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: - - Edge computing, hardware for edge computing AI, and edge virtualization techniques - - - Edge intelligence and deep learning applications, training, and optimization - - - Machine learning algorithms used for edge computing - - - Reviews AI on IoT Discusses future edge computing needs - Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

DKK 759.00
1

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: - - Edge computing, hardware for edge computing AI, and edge virtualization techniques - - - Edge intelligence and deep learning applications, training, and optimization - - - Machine learning algorithms used for edge computing - - - Reviews AI on IoT Discusses future edge computing needs - Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

DKK 884.00
1

Beginning Azure IoT Edge Computing - David Jensen - Bog - APress - Plusbog.dk

Beginning Azure IoT Edge Computing - David Jensen - Bog - APress - Plusbog.dk

Use a step-by-step process to create and deploy your first Azure IoT Edge solution. Modern day developers and architects in today''s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging. Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful. Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer. What You''ll Learn - Create and deploy Azure IoT Edge solutions - Recognize when to leverage the intelligent edge pattern and when to avoid it - Leverage the available developer tooling to develop and debug IoT Edge solutions - Know which off-the-shelf edge computing modules are available - Become familiar with some of the lesser-known device protocols used in conjunction with edge computing - Understand how to securely deploy and bootstrap an IoT Edge device - Explore related topics such as containers and secure device provisioning Who This Book Is For Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.

DKK 519.00
1

Edge Computing - K. Anitha Kumari - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing - K. Anitha Kumari - Bog - Taylor & Francis Ltd - Plusbog.dk

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: - - Discusses edge data storage security with case studies and blockchain integration with the edge computing system - - - Covers theoretical methods with the help of applications, use cases, case studies, and examples - - - Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption - - - Discusses real-time interfaces, devices, and simulators in detail -

DKK 476.00
1

Applied Edge AI - R.i. Minu - Bog - Taylor & Francis Ltd - Plusbog.dk

Applied Edge AI - R.i. Minu - Bog - Taylor & Francis Ltd - Plusbog.dk

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

DKK 1042.00
1

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout.

DKK 519.00
1

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout.

DKK 717.00
1

Edge Computing: A Friendly Introduction - Perry Lea - Bog - Manning Publications - Plusbog.dk

Edge Computing: A Friendly Introduction - Perry Lea - Bog - Manning Publications - Plusbog.dk

Get the business and technical foundation you need to create your edge computing strategy. Edge Computing includes: - - What is edge computing and why does it matter to you? - - Real-world consumer and enterprise use cases of edge computing - - The hardware and software that drives edge and IoT systems - - Edge security risks and how to counteract them - - How to monetize edge systems - "Edge devices" include everything from smart phones to the countless internet connected appliances we interact with everywhere, every day. And to remain competitive, every business must have an edge computing strategy. Edge Computing is the first step. This no-nonsense guide from veteran technologist Perry Lea slices through the buzzwords and reveals how edge computing affects your business and IT decisions, from hardware and software systems to the way you interact with customers, clients, and employees. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Edge computing brings computing power and data storage closer to the devices and systems that need it. Edge devices perform tasks ranging from simple data retrieval to complex AI at the point of usage to deliver faster and more responsive applications. This insightful, experience-driven guide will help you get to the core of what you need to know about this groundbreaking technology. About the book Edge Computing introduces all aspects of edge computing. Illustrations and graphics help make complex topics easy to understand. If you’re a business decision maker, you’ll welcome the jargon-free explanations of key concepts. Technical pros will appreciate the big-picture coverage of the central technologies of edge computing. You’ll find essential coverage of the edge’s systems and architectures, as well as how to prevent embarrassing and crippling cyber attacks. Throughout, the book’s real-world use cases cut through the hype and reveal how edge computing is being effectively used in industry. About the reader For technology leaders and managers looking to rapidly get up to speed with edge computing. About the author Perry Lea is a principal architect and senior director of architecture for Microsoft Xbox. He has spent thirty-five years working in technology for multiple Silicon Valley companies, serving as senior director, distinguished technologist, chief architect, and CTO. Perry has authored over 60 patents and holds engineering degrees in computer science, computer engineering and a postgrad degree in electrical engineering from Columbia University.

DKK 312.00
1

Secure Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Secure Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

DKK 995.00
1

Secure Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Secure Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

DKK 476.00
1