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

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

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

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

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

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

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

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

Irony's Edge - Linda Hutcheon - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing and Capability-Oriented Architecture - Haishi Bai - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing and Capability-Oriented Architecture - Haishi Bai - Bog - Taylor & Francis Ltd - Plusbog.dk

Fueled by ubiquitous computing ambitions, the edge is at the center of confluence of many emergent technological trends such as hardware-rooted trust and code integrity, 5G, data privacy and sovereignty, blockchains and distributed ledgers, ubiquitous sensors and drones, autonomous systems and real-time stream processing. Hardware and software pattern maturity have reached a tipping point so that scenarios like smart homes, smart factories, smart buildings, smart cities, smart grids, smart cars, smart highways are in reach of becoming a reality. While there is a great desire to bring born-in-the-cloud patterns and technologies such as zero-downtime software and hardware updates/upgrades to the edge, developers and operators alike face a unique set of challenges due to environmental differences such as resource constraints, network availability and heterogeneity of the environment. The first part of the book discusses various edge computing patterns which the authors have observed, and the reasons why these observations have led them to believe that there is a need for a new architectural paradigm for the new problem domain. Edge computing is examined from the app designer and architect’s perspectives. When they design for edge computing, they need a new design language that can help them to express how capabilities are discovered, delivered and consumed, and how to leverage these capabilities regardless of location and network connectivity. Capability-Oriented Architecture is designed to provide a framework for all of these. This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker. The book covers the broad spectrum of edge environments, their challenges and how you can address them as a developer or an operator. The book concludes with an introduction to a new architectural paradigm called capability-based architecture, which takes into consideration the capabilities provided by an edge environment. .

DKK 476.00
1

Teachers on the Edge - - Bog - Taylor & Francis Ltd - Plusbog.dk

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things - - Bog - Taylor & Francis Ltd - Plusbog.dk

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things - - Bog - Taylor & Francis Ltd - Plusbog.dk

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems. Features: - The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay - It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles - It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing - Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems - Different use cases covered include smart health care, smart city, internet of drones, etc This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.

DKK 476.00
1

Blockchain-enabled Fog and Edge Computing: Concepts, Architectures and Applications - - Bog - Taylor & Francis Ltd - Plusbog.dk

Blockchain-enabled Fog and Edge Computing: Concepts, Architectures and Applications - - Bog - Taylor & Francis Ltd - Plusbog.dk

This comprehensive book unveils the working relationship of blockchain and the fog/edge computing. The contents of the book have been designed in such a way that the reader will not only understand blockchain and fog/edge computing but will also understand their co-existence and their collaborative power to solve a range of versatile problems. The first part of the book covers fundamental concepts and the applications of blockchain-enabled fog and edge computing. These include: Internet of Things, Tactile Internet, Smart City; and E-challan in the Internet of Vehicles. The second part of the book covers security and privacy related issues of blockchain-enabled fog and edge computing. These include, hardware primitive based Physical Unclonable Functions; Secure Management Systems; security of Edge and Cloud in the presence of blockchain; secure storage in fog using blockchain; and using differential privacy for edge-based Smart Grid over blockchain. This book is written for students, computer scientists, researchers and developers, who wish to work in the domain of blockchain and fog/edge computing. One of the unique features of this book is highlighting the issues, challenges, and future research directions associated with Blockchain-enabled fog and edge computing paradigm. We hope the readers will consider this book a valuable addition in the domain of Blockchain and fog/edge computing.

DKK 403.00
1

Fundraising with The Raiser's Edge - Bill Connors - Bog - John Wiley & Sons Inc - Plusbog.dk

Computing at the EDGE - - Bog - Springer Nature Switzerland AG - Plusbog.dk