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Edge Computing and Capability-Oriented Architecture

by Haishi Bai Boris Scholl

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. .

Edge Computing and IoT: First EAI International Conference, ICECI 2020, Virtual Event, November 6, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #368)

by Hongbo Jiang Hongyi Wu Fanzi Zeng

This book constitutes the refereed post-conference proceedings of the First International Conference Edge Computing and IoT, ICECI 2020, held in November 2020 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The rapidly increasing devices and data traffic in the Internet-of-Things (IoT) era are posing significant burdens on the capacity-limited Internet and uncontrollable service delay. The 11 full papers of ICECI 2020 were selected from 79 submissions and present results and ideas in the area of edge computing and IoT.

Edge Computing and IoT: Second EAI International Conference, ICECI 2021, Virtual Event, December 22–23, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #437)

by Yanjiao Chen Lu Wang Kaishun Wu

This book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.

Edge Computing and IoT: Third EAI International Conference, ICECI 2022, Virtual Event, December 13-14, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #478)

by Ping Zhao Zhu Xiao Xingxia Dai Jinmei Shu

This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.

Edge Computing – EDGE 2018: Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings (Lecture Notes in Computer Science #10973)

by Bedir Tekinerdogan Liang-Jie Zhang Shijun Liu Mikio Aoyama

This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2018, held in Seattle, WA, USA, in June 2018. The 9 full papers and 3 short paper presented in this volume were carefully reviewed and selected from 29 submissions. The contributions are organized in topical sections named: Research Track; Application and Industry Track; and Short Paper Track. They deal with the latest fundamental advances in the state of the art and practice of edge computing.

Edge Computing – EDGE 2019: Third International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings (Lecture Notes in Computer Science #11520)

by Tao Zhang Liang-Jie Zhang Jinpeng Wei

This book constitutes the proceedings of the Third International Conference on Edge Computing, EDGE 2019, held in San Diego, CA, USA, in June 2019. The 5 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 14 submissions. The contributions deal with the latest fundamental advances in the state of the art and practice of edge computing, identifying emerging research topics and defining the future of edge computing.

Edge Computing – EDGE 2020: 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings (Lecture Notes in Computer Science #12407)

by Liang-Jie Zhang Jinpeng Wei Ajay Katangur Shih-Chun Lin Shuhui Yang

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.

Edge Computing – EDGE 2021: 5th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10–14, 2021, Proceedings (Lecture Notes in Computer Science #12990)

by Liang-Jie Zhang

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.

Edge Computing – EDGE 2022: 6th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10–14, 2022, Proceedings (Lecture Notes in Computer Science #13732)

by Liang-Jie Zhang Min Luo

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.

Edge Computing – EDGE 2023: 7th International Conference, Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023, Proceedings (Lecture Notes in Computer Science #14205)

by Jun Feng Liang-Jie Zhang Min Luo Frank Jiang

This book constitutes the refereed proceedings of the 7th International Conference on Edge Computing, EDGE 2023, held in Shenzhen, China, during December 17–18, 2023. The 8 full papers in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Practice of Edge Computing, identify emerging research topics, and define the future of Edge Computing.

Edge Computing – EDGE 2024: 8th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings (Lecture Notes in Computer Science #15424)

by Liang-Jie Zhang Jing Zeng

This book constitutes the refereed proceedings of the 8th International Conference on Edge Computing, EDGE 2024, held in Bangkok, Thailand, during November 16-19, 2024. The 8 full papers included in this book were carefully reviewed and selected from 16 submissions. The papers presented focus on various topics such as Edge Storage, Edge Connections, Edge Analytics, Edge AI, Edge Processing Engine, Industry-Specific Edges, Edge Application Innovations, 5G and Edge, 5G and Cloud, AIGC for Edge.

Edge Computing: A Primer (SpringerBriefs in Computer Science)

by Jie Cao Quan Zhang Weisong Shi

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.

Edge Computing: From Hype to Reality (EAI/Springer Innovations in Communication and Computing)

by Fadi Al-Turjman

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.

Edge Computing: Fundamentals, Advances and Applications (Advances in Industry 4.0 and Machine Learning)

by M. Niranjanamurthy K. Anitha Kumari G. Sudha Sadasivam D. Dharani

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

Edge Computing: Systems and Applications

by Weisong Shi Lanyu Xu

Understand the computing technology that will power a connected future The explosive growth of the Internet of Things (IoT) in recent years has revolutionized virtually every area of technology. It has also driven a drastically increased demand for computing power, as traditional cloud computing proved insufficient in terms of bandwidth, latency, and privacy. Edge computing, in which data is processed at the edge of the network, closer to where it’s generated, has emerged as an alternative which meets the new data needs of an increasingly connected world. Edge Computing offers a thorough but accessible overview of this cutting-edge technology. Beginning with the fundamentals of edge computing, including its history, key characteristics, and use cases, it describes the architecture and infrastructure of edge computing and the hardware that enables it. The book also explores edge intelligence, where artificial intelligence is integrated into edge computing to enable smaller, faster, and more autonomous decision-making. The result is an essential tool for any researcher looking to understand this increasingly ubiquitous method for processing data. Edge Computing readers will also find: Real-world applications and case studies drawn from industries including healthcare and urban developmentDetailed discussion of topics including latency, security, privacy, and scalabilityA concluding summary of key findings and a look forward at an evolving computing landscape Edge Computing is ideal for students, professionals, and enthusiasts looking to understand one of technology’s most exciting new paradigms.

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications (Synthesis Lectures on Learning, Networks, and Algorithms)

by Xu Chen Junshan Zhang Sen Lin Zhi Zhou Zhaofeng Zhang

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. This second edition incorporates the latest research in this rapidly developing area. The authors also highlight the current applications and future research opportunities for edge intelligence.

Edge Intelligent Computing Systems in Different Domains (SpringerBriefs in Computer Science)

by Romano Fantacci Benedetta Picano

This book provides a comprehensive and systematic exploration of next-generation Edge Intelligence (EI) Networks. It delves deep into the critical design considerations within this context, emphasizing the necessity for functional and dependable interactions between networking strategies and the diverse application scenarios. This should help assist to encompass a wide range of environments.This book also discusses topics such as resource optimization, incentive mechanisms, channel prediction and cutting-edge technologies, which includes digital twins and advanced machine learning techniques. It underscores the importance of functional integration to facilitate meaningful collaborations between networks and systems, while operating across heterogeneous environments aiming support novel and disruptive human-oriented services and applications. Valuable insights into the stringent requirements for intelligence capabilities, communication latency and real-time response are discussed. This characterizes the new EI era, driving the creation of comprehensive cross-domain architectural ecosystems that infuse human-like intelligence into every aspect of emerging EI systems.This book primarily targets advanced-level students as well as postdoctoral researchers, who are new to this field and are searching for a comprehensive understanding of emerging EI systems. Practitioners seeking guidance in the development and implementation of EI systems in practical contexts will also benefit from this book.

Edge Networking: Internet of Edges

by Guy Pujolle Khaldoun Al Agha Pauline Loygue

The Internet of Edges is a new paradigm whose objective is to keep data and processing close to the user. This book presents three different levels of Edge networking: MEC (Multi-access Edge Computing), Fog and Far Edge (sometimes called Mist or Skin). It also reviews participatory networks, in which user equipment provides the resources for the Edge network. Edge networks can be disconnected from the core Internet, and the interconnection of autonomous edge networks can then form the Internet of Edges. This book analyzes the characteristics of Edge networks in detail, showing their capacity to replace the imposing Clouds of core networks due to their superior server response time, data security and energy saving.

Edge of Intelligence: Exploring the Frontiers of AI at the Edge

by Pethuru Raj Sathyan Munirathinam Shubham Mahajan

The book offers cutting-edge insights and practical applications for Edge AI, making it essential for anyone looking to stay ahead in the rapidly evolving landscape of artificial intelligence and Edge computing. Edge of Intelligence: Exploring the Frontiers of AI at the Edge examines the transformative potential of edge AI, showcasing how artificial intelligence is being seamlessly integrated with Edge computing to revolutionize various industries. This book offers a comprehensive overview of the latest research, trends, and practical applications of Edge AI, providing readers with valuable insights into how this cutting-edge technology is enhancing efficiency, reducing latency, and enabling real-time decision-making. From optimizing vehicular networks in the era of 6G to the innovative use of AI in crop monitoring and educational technology, this book covers a broad spectrum of topics, making it an essential read for anyone interested in the future of AI and Edge computing. Featuring contributions from leading experts and researchers, Edge of Intelligence highlights real-world examples and case studies that demonstrate the practical implementation of edge AI in diverse sectors such as smart cities, recruitment, and nano-process optimization. The book also addresses critical issues related to privacy, security, and the fusion of blockchain with edge computing, providing a holistic view of the challenges and opportunities in this rapidly evolving field. Audience Engineers, data scientists, IT professionals, researchers, and academics in the fields of artificial intelligence, computer science, and telecommunications, as well as industry professionals in sectors such as the automotive, agriculture, education, and urban planning industries.

Edge-AI in Healthcare: Trends and Future Perspectives (Edge AI in Future Computing)

by Sonali Vyas, Akanksha Upadhyaya, Deepshikha Bhargava, and Vinod Kumar Shukla

The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data.Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

EdgeAI for Algorithmic Government

by Rajan Gupta Saibal Kumar Pal Sanjana Das

The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

Edit Like a Pro with iMovie: Leverage Apple's free editor for iOS, iPadOS, and macOS and enrich videos with Keynote animations

by A01 Regit

A comprehensive guide to making the most of Apple's entry-level editing software—from the basics of editing to using iLife and open source apps to create unique non-fiction videosKey FeaturesLearn editing principles as you assemble coherent and concise videosMaster basic editing tools by importing, assembling, reframing, and embellishing footage with overlays and effectsCustomize animations and exports in iMovie and learn how to avoid the gotchas Apple won't tell you aboutBook DescriptionIt's not about having the shiniest tools; it's what you do with them. iMovie offers Apple users the ease of creating engaging videos using the free video editing application's support for macOS, iOS, and iPadOS devices. Complete with step-by-step tutorials for essential tools and concepts and explanations for why you should use them, this practical guide to iMovie will leave you well-prepared for the world of post-production. This book begins with an introduction to some of the core principles of editing. You'll learn how to easily make your videos coherent and concise and flex your creative muscles with Magic Movie and the Storyboard mode. Once you grasp how to use iMovie's full-blown Movie modes for mobile devices and macOS, you'll be able to use simple editing tools to deliver effective videos from import to export. Finally, you'll explore Keynote for creating custom titles and animations and building a personal visual brand that makes your videos uniquely yours. By the end of this iMovie book, you'll be on your way to becoming a creative problem-solver, using iMovie and other free apps to create high-quality, engaging videos for projects with different visual and technical requirements.What you will learnSoak up the principles of editing—coherence, conciseness, and adding meaningUse iMovie's Magic Movie and Storyboard tools to create simple, themed videosNavigate movie mode for iOS, iPadOS, and macOS and create videos without a templateImprove the viewing experience with overlays and use keyframes for smooth animationsCreate custom titles and animations using KeynoteUse open source software to transcode your exports for different platforms and requirementsIdentify the most common problems with iMovie and how to avoid themWho this book is forIf you have an Apple device and have to make a video for work or school, this book is where to turn. Suitable even for absolute beginners, this book includes simple, progressive guides to help you master editing principles and employ iMovie to create simple but effective videos to inform, educate and entertain your colleagues, friends, and family. For more advanced users such as YouTubers and other online content creators, this book contains valuable tips on how to stamp unique identity and brand USPs into videos.

Edited For Television: Cnn, Abc, And The 1992 Presidential Campaign

by Matthew Robert Kerbel

This book discusses the words and pictures that constituted coverage of the 1992 presidential campaign on ABC and CNN. It addresses the implications of the news product for the viewing audience and the impact of the forces that create television news on the political system.

Editing Audio in Pro Tools: Skill Pack

by Michael White

Editing audio is one of the most important and often one of the least understood and most confusing functions of any DAW. However, it is also a function to which Pro Tools is particularly well suited. Editing Audio in Pro Tools: Skill Pack is your key to demystifying and mastering all of the audio editing tools available in Pro Tools. This unique book/CD-ROM learning tool provides an interactive and hands-on method for learning the art of editing audio in Pro Tools. Unlike other books with companion discs, the source files on your Skill Pack CD-ROM are an essential part of the book's tutorials-they are not there as mere examples; they are the building blocks from which you'll construct the projects. The result is a fully integrated learning experience. You'll learn by applying the skills you've been taught through real-life experience. By the end of the book, you'll have a fundamental understanding of the design and philosophy of editing audio in Pro Tools, you'll be able to work faster, and you'll know how to avoid common pitfalls and mistakes. Editing Audio in Pro Tools: Skill Pack truly has something for users of every skill level. Whether you are already a seasoned engineer looking to refine your editing skills, are switching to Pro Tools from another recording application, or are a songwriter or musician looking to make sense of this professional-level DAW, Editing Audio in Pro Tools: Skill Pack is sure to help you improve your projects. Beginners can progress from the start of the book to the end to get a comprehensive look at the entire Pro Tools editing system, and more advanced users can skip directly to a chapter that focuses on a particular editing feature they want to study-the source files on the CD are set up so that you don't necessarily need to start from the beginning. So what are you waiting for? Better audio editing skills will never be easier to attain!

Educating Engineers for Future Industrial Revolutions: Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020), Volume 1 (Advances in Intelligent Systems and Computing #1328)

by Michael E. Auer Tiia Rüütmann

This book contains papers in the fields of collaborative learning, new learning models and applications, project-based learning, game-based education, educational virtual environments, computer-aided language learning (CALL) and teaching best practices.We are currently witnessing a significant transformation in the development of education and especially post-secondary education. To face these challenges, higher education has to find innovative ways to quickly respond to these new needs. There is also pressure by the new situation in regard to the Covid pandemic.These were the aims connected with the 23rd International Conference on Interactive Collaborative Learning (ICL2020), which was held online by University of Technology Tallinn, Estonia from 23 to 25 September 2020. Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning. Nowadays the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in Learning and Engineering Pedagogy. In this way, we try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, learning industry, further and continuing education lecturers, etc.

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