Edge Computing and Capability-Oriented Architecture

Edge Computing and Capability-Oriented Architecture
Author: Haishi Bai
Publisher: CRC Press
Total Pages: 177
Release: 2021-08-15
Genre: Computers
ISBN: 1000416925
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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

Edge Computing
Author: K. Anitha Kumari
Publisher: CRC Press
Total Pages: 181
Release: 2021-12-22
Genre: Computers
ISBN: 1000483592
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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

Edge Computing
Author: Fadi Al-Turjman
Publisher: Springer
Total Pages: 188
Release: 2018-11-09
Genre: Technology & Engineering
ISBN: 3319990616
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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 Simplified

Edge Computing Simplified
Author: Perry Lea
Publisher: Packt Publishing Ltd
Total Pages: 178
Release: 2024-06-14
Genre: Technology & Engineering
ISBN: 1835884199
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Get to grips with the full stack of edge computing technologies from silicon and cloud to AI, and discover real-world business use cases and applications of edge computing Key Features Benefit from clear, non-technical explanations suitable for entry-level learners Understand the costs, tradeoffs, and technical challenges of building a full-stack edge system Explore a plethora of different real-world use cases analyzed in detail from a system and business perspective Purchase of the print or Kindle book includes a free PDF eBook Book Description The migration of computing to the edge is the logical progression of where computing is performed on a global scale. Edge computing is not a new paradigm but a necessary technology to address issues such as latency, service charges, reliability, connectivity, and privacy. This book walks you through the definition and architecture of edge computing systems and why they are critical in today's ecosystem of IoT devices and an "everything connected" world.You will start your journey with an introduction to different edge computing hardware platforms, which vary by use case. From there, you'll explore operating systems and middleware packages that manage edge devices such as Azure IoT. Then, you will explore communication systems such as near-range Bluetooth and RFID as well as long-range systems such as 5G. Networking protocols will be covered, which are the heart of edge systems. Technologies such as MQTT, which make up the backbone of edge to cloud communication, are examined. Then, you will move on to edge applications such as edge predictive AI and federated computing. We wrap up by investigating the security and vulnerability envelope of edge systems.This book is intended to quickly familiarize you with edge systems technologies and use cases, without burdening you with complicated jargon and low-level details. What you will learn Learn about edge systems' architecture from simple use cases to complex content delivery Learn the elements of edge hardware and differences in far edge equipment Develop a solid understanding of edge communication systems and networking Develop an understanding of edge system software and partitioning Understand edge services and applications such as AI and federated learning Learn how security comes into play on edge systems Who this book is for Edge Computing Simplified is for mid-to-senior level technology leaders and managers exploring the realm of IoT and edge computing. Beginners keen to start their journey with IoT and edge computing without diving into technical details will also find this book useful. Some familiarity with IT concepts like networking or cloud computing may help you understand the topics in this book more easily, but the book is written in a way to gently walk you through the complexities of edge technologies.

Mobile Edge Computing

Mobile Edge Computing
Author: Yan Zhang
Publisher: Springer Nature
Total Pages: 123
Release: 2021-10-01
Genre: Computers
ISBN: 3030839443
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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.

Edge Computing Simply In Depth

Edge Computing Simply In Depth
Author: Ajit Singh
Publisher:
Total Pages: 122
Release: 2020-02-06
Genre:
ISBN:
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Edge Computing Simply In Depth 2nd Edition ● This book facilitates and features the Edge Computing with respect to Mobile, IoT and IIoT technologies. I tried to cover from it's evolution, architecture, implementation and standard role of IoT. All the things are covered along with in depth industry's real-life and practical use cases. ● This book is also aimed to the curriculum of the Edge Computing of prominent Universities / Institutions across the World. ● The IoT edge computing is significantly different from non-IoT edge computing, with distinct demands and considerations. The IoT devices typically have limited data processing and storage capabilities, so substantial data processing needs to occur off the device, with the edge offering an environment to undertake this processing and manage large volumes of IoT devices and data. This in turn can reduce device cost, as many functions can be off-loaded to the edge. The location of the edge itself has various possibilities and will differ according to the use case. For example, the edge for IoT could reside at an operator's local or regional data centre, at a base station or at a dedicated server on the customer's premises. The IoT market analysts expect the edge to play a significant role in supporting IoT implementations going forward, as it creates efficiencies and scale in networks that makes IoT deployments more self-sustaining. ● The IDC (International Data Corporation) estimate that that by 2022, IT spending on edge infrastructure will reach up to 18 percent of the total spend on IoT infrastructure. Mobile operators have the demonstrable capability to manage infrastructure, data and applications for IoT services, and are well placed to continue this with edge for IoT. Featured With: ■ EDGE FRAMEWORK DESIGN ■ EDGE ARCHITECTURE ■ MOBILE EDGE COMPUTING ■ EDGE COMPUTING IN IOT & IIOT ■ EDGE COMPUTING AND 5G

Edge Computing Systems with Kubernetes

Edge Computing Systems with Kubernetes
Author: Sergio Méndez
Publisher: Packt Publishing Ltd
Total Pages: 458
Release: 2022-10-14
Genre: Computers
ISBN: 1800566980
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Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook Description Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money. In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example. By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.

Real-world Edge Computing

Real-world Edge Computing
Author: Robert High
Publisher: Packt Publishing Ltd
Total Pages: 296
Release: 2024-06-28
Genre: Computers
ISBN: 1835885853
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Learn how to use Linux Foundation's LF Edge Open Horizon project to scale the deployment of your edge application and workload solution in a production environment Key Features Explore historical trends, industries, use cases, and the evolving ecosystem of edge computing Build your skills to recognize common issues that can derail a successful edge project Understand the symbiotic relationship between edge computing and application-centric networking Purchase of the print or Kindle book includes a free PDF eBook Book Description Edge computing holds vast potential to revolutionize industries, yet its implementation poses unique challenges. Written by industry veterans Rob High and Sanjeev Gupta, this comprehensive guide bridges the gap between theory and practice. Distilling expertise from their combined decades of experience in edge computing and hybrid cloud mesh solutions, this book equips software developers and DevOps teams with the knowledge and skills needed to deploy edge solutions at scale in production environments. It also explores foundational standards and introduces key factors that may impede the scaling of edge solutions. While edge computing draws from the successes of cloud computing, crucial distinctions separate the two. High and Gupta elucidate these distinctions, helping you grasp the nuanced dynamics of edge-computing ecosystems. With a focus on leveraging Open Horizon to overcome pitfalls and optimize performance, this book will help you confidently navigate the intricacies of constructing and deploying resilient edge solutions in real-world production settings. By the end of this book, you’ll have acquired a deep understanding of essential success factors for building and deploying robust edge solutions in real-world production settings, leveraging Open Horizon for scalable edge deployments. What you will learn Identify prevalent challenges in edge projects Use Open Horizon to address project issues Optimize Open Horizon functionality effectively Debug and resolve field issues with precision Deploy AI/ML models on edge devices seamlessly Enhance team productivity in Edge project management Implement best practices for organizing all your edge projects Who this book is for This book is for software engineers and DevOps teams aiming to optimize their edge solutions. Whether you're already developing edge solutions or in the planning stages, this book equips you with insights to mitigate risks and enhance viability. Catering to various experience levels, it offers valuable guidance on understanding the nuances between cloud and edge computing.

Industrial Edge Computing

Industrial Edge Computing
Author: Xiaobo Zhou
Publisher: Springer
Total Pages: 0
Release: 2024-09-27
Genre: Computers
ISBN: 9789819747511
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This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector. In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency, bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT). Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.

5G Edge Computing

5G Edge Computing
Author: Xiao Ma
Publisher: Springer Nature
Total Pages: 209
Release:
Genre:
ISBN: 9819702135
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