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Author: Perry Lea
Publisher: Packt Publishing Ltd
Published: 2024
Total Pages: 178
ISBN-13: 1835884199
DOWNLOAD EBOOKDownload or read book Edge Computing Simplified written by Perry Lea and published by Packt Publishing Ltd. This book was released on 2024 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: M.B. Chatfield
Publisher:
Published:
Total Pages: 141
ISBN-13:
DOWNLOAD EBOOKUnleash the Power of Edge Computing - Even Without a Tech Degree! Edge Computing Simplified: A Clear and Concise Explanation for Everyone cuts through the jargon and reveals the exciting world of edge computing in a way that's easy to understand. Inside you'll discover: The what and why: Learn the basics of edge computing and why it's revolutionizing how we interact with technology. Demystifying the tech: Explore the key components of edge computing systems without getting bogged down in technical details. Real-world applications: See how edge computing is transforming industries like healthcare, manufacturing, and smart cities. Benefits and challenges: Understand the advantages of edge computing while also considering the potential hurdles. Whether you're a curious individual, a business professional, or simply want to stay ahead of the tech curve, this book is your ticket to understanding edge computing. Start your journey into the future of technology today! #edgecomputing #futureofcomputing #iot #cloudcomputing #techexplained #edgecomputingforbeginners #makingsenseoftech #beginnersguide #edgecomputingbasics #understandedgecomputing #techforeveryone #futureofwork #smartercities #advancededgecomputing #edgecomputingapplications #developyouredgeexpertise #M.B.Chatfield
Download or read book Edge Computing Simplified: A Clear and Concise Explanation for Everyone written by M.B. Chatfield and published by . This book was released on with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Edge Computing - Even Without a Tech Degree! Edge Computing Simplified: A Clear and Concise Explanation for Everyone cuts through the jargon and reveals the exciting world of edge computing in a way that's easy to understand. Inside you'll discover: The what and why: Learn the basics of edge computing and why it's revolutionizing how we interact with technology. Demystifying the tech: Explore the key components of edge computing systems without getting bogged down in technical details. Real-world applications: See how edge computing is transforming industries like healthcare, manufacturing, and smart cities. Benefits and challenges: Understand the advantages of edge computing while also considering the potential hurdles. Whether you're a curious individual, a business professional, or simply want to stay ahead of the tech curve, this book is your ticket to understanding edge computing. Start your journey into the future of technology today! #edgecomputing #futureofcomputing #iot #cloudcomputing #techexplained #edgecomputingforbeginners #makingsenseoftech #beginnersguide #edgecomputingbasics #understandedgecomputing #techforeveryone #futureofwork #smartercities #advancededgecomputing #edgecomputingapplications #developyouredgeexpertise #M.B.Chatfield
Author: M.B. Chatfield
Publisher:
Published:
Total Pages: 54
ISBN-13:
DOWNLOAD EBOOKYou've grasped the basics, now unlock the potential! Building on the foundation of "Edge Computing Simplified," this book takes you on a deeper dive into the world of edge computing, equipping you with the knowledge and skills to navigate its exciting future. Inside you'll discover: Advanced concepts: Explore different edge computing deployments, delve into cutting-edge technologies and platforms. Hands-on edge: Learn how to develop and deploy your own edge computing applications. Future-proofing your skills: Understand the critical role of security and privacy in edge computing. The road ahead: Discover how edge computing is shaping the future of society across various industries. Embrace the power of edge computing and chart your course to a successful future! Author: In his work, Chatfield is known for his ability to take complex technical topics and make them easy to understand. He is a gifted communicator who can explain even the most intricate concepts in a clear and concise way. This makes his writing and presentations a valuable resource for anyone who wants to learn more about edge computing. Chatfield is also a passionate advocate for edge computing. He believes that edge computing has the potential to revolutionize the way we use technology, and he is committed to helping others understand its benefits. Here are some of the things that make M.B. Chatfield an expert in edge computing: He is a gifted communicator. Chatfield can explain complex technical topics in a clear and concise way. He is passionate about edge computing. Chatfield believes in the potential of edge computing to revolutionize the way we use technology. He is a valuable resource for anyone who wants to understand this important new technology. #edgecomputing #futureofcomputing #iot #cloudcomputing #techexplained #edgecomputingforbeginners #makingsenseoftech #beginnersguide #edgecomputingbasics #understandedgecomputing #techforeveryone #futureofwork #smartercities #advancededgecomputing #edgecomputingapplications #developyouredgeexpertise #M.B.Chatfield
Download or read book Edge Computing for Beginners: A Roadmap to the Future written by M.B. Chatfield and published by . This book was released on with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: You've grasped the basics, now unlock the potential! Building on the foundation of "Edge Computing Simplified," this book takes you on a deeper dive into the world of edge computing, equipping you with the knowledge and skills to navigate its exciting future. Inside you'll discover: Advanced concepts: Explore different edge computing deployments, delve into cutting-edge technologies and platforms. Hands-on edge: Learn how to develop and deploy your own edge computing applications. Future-proofing your skills: Understand the critical role of security and privacy in edge computing. The road ahead: Discover how edge computing is shaping the future of society across various industries. Embrace the power of edge computing and chart your course to a successful future! Author: In his work, Chatfield is known for his ability to take complex technical topics and make them easy to understand. He is a gifted communicator who can explain even the most intricate concepts in a clear and concise way. This makes his writing and presentations a valuable resource for anyone who wants to learn more about edge computing. Chatfield is also a passionate advocate for edge computing. He believes that edge computing has the potential to revolutionize the way we use technology, and he is committed to helping others understand its benefits. Here are some of the things that make M.B. Chatfield an expert in edge computing: He is a gifted communicator. Chatfield can explain complex technical topics in a clear and concise way. He is passionate about edge computing. Chatfield believes in the potential of edge computing to revolutionize the way we use technology. He is a valuable resource for anyone who wants to understand this important new technology. #edgecomputing #futureofcomputing #iot #cloudcomputing #techexplained #edgecomputingforbeginners #makingsenseoftech #beginnersguide #edgecomputingbasics #understandedgecomputing #techforeveryone #futureofwork #smartercities #advancededgecomputing #edgecomputingapplications #developyouredgeexpertise #M.B.Chatfield
Author: Jie Cao
Publisher: Springer
Published: 2018-11-01
Total Pages: 90
ISBN-13: 3030020835
DOWNLOAD EBOOKThe 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.
Download or read book Edge Computing: A Primer written by Jie Cao and published by Springer. This book was released on 2018-11-01 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: John Davies
Publisher: John Wiley & Sons
Published: 2020-06-08
Total Pages: 244
ISBN-13: 1119545269
DOWNLOAD EBOOKProvides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges. The Internet of Things: From Data to Insight Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making Explains how IoT technology is applied in practice and the benefits being delivered. Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas Analyzes and presents important emerging technologies for the IoT arena Shows how different objects and devices can be connected to decision making processes at various levels of abstraction The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.
Download or read book The Internet of Things written by John Davies and published by John Wiley & Sons. This book was released on 2020-06-08 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges. The Internet of Things: From Data to Insight Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making Explains how IoT technology is applied in practice and the benefits being delivered. Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas Analyzes and presents important emerging technologies for the IoT arena Shows how different objects and devices can be connected to decision making processes at various levels of abstraction The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.
Author: K. Anitha Kumari
Publisher: CRC Press
Published: 2021-11-22
Total Pages: 180
ISBN-13: 1000483592
DOWNLOAD EBOOKThis 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
Download or read book Edge Computing written by K. Anitha Kumari and published by CRC Press. This book was released on 2021-11-22 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author: Longxiang Gao
Publisher: Springer Nature
Published: 2021-06-01
Total Pages: 113
ISBN-13: 9811621993
DOWNLOAD EBOOKWith the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.
Download or read book Privacy-Preserving in Edge Computing written by Longxiang Gao and published by Springer Nature. This book was released on 2021-06-01 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.
Author: Javid Taheri
Publisher: IET
Published: 2020-07-06
Total Pages: 476
ISBN-13: 1785619403
DOWNLOAD EBOOKThe book aims to focus only on the 'edge computing' paradigm - as opposed to other similar disciplines such as fog computing - due to its unique characteristics where heterogeneous devices can be equipped with decision-making processes and automation procedures to carry out applications (mostly) across widely geographically distributed areas. The book is sectioned into three parts (models, technologies and applications) to reflect complementary viewpoints and shed light onto various aspect of edge computing platforms. The first part (models) serves as an introductory section to differentiate edge computing from its fairly close/similar paradigms such as fog computing, multi-access edge computing and mobile cloud computing. It then highlights various theoretical models through which edge computing systems could be mathematically expressed and their relevant technological problems could be systematically solved or optimized. The second part (technologies) focuses on different technologies (virtualization, networking, orchestration, etc.) where edge computing systems could be realized. And finally, the third part (applications) focuses on various application domains (e.g., smart cities) where edge computing systems could, or already did, help in providing novel services beyond the reach of pure/typical cloud computing solutions.
Download or read book Edge Computing written by Javid Taheri and published by IET. This book was released on 2020-07-06 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to focus only on the 'edge computing' paradigm - as opposed to other similar disciplines such as fog computing - due to its unique characteristics where heterogeneous devices can be equipped with decision-making processes and automation procedures to carry out applications (mostly) across widely geographically distributed areas. The book is sectioned into three parts (models, technologies and applications) to reflect complementary viewpoints and shed light onto various aspect of edge computing platforms. The first part (models) serves as an introductory section to differentiate edge computing from its fairly close/similar paradigms such as fog computing, multi-access edge computing and mobile cloud computing. It then highlights various theoretical models through which edge computing systems could be mathematically expressed and their relevant technological problems could be systematically solved or optimized. The second part (technologies) focuses on different technologies (virtualization, networking, orchestration, etc.) where edge computing systems could be realized. And finally, the third part (applications) focuses on various application domains (e.g., smart cities) where edge computing systems could, or already did, help in providing novel services beyond the reach of pure/typical cloud computing solutions.
Author: Frankie Costa Negro
Publisher: Packt Publishing Ltd
Published: 2022-11-28
Total Pages: 253
ISBN-13: 1803243708
DOWNLOAD EBOOKBecome an expert in AWS Outposts and Hybrid architectures with in-depth explanations of the product and order processes while exploring the capabilities for creating next-generation edge solutions Key FeaturesLearn AWS Outposts from the ground up guided by an AWS hybrid edge solutions architectMaster hybrid edge concepts, use cases, and architectures and discover how AWS Outposts fits into this spaceBecome the go-to professional for designing, deploying, operating, and maintaining AWS OutpostsBook Description The hybrid edge specialty is often misunderstood because it began with an on-premises-focused view encompassing everything not running inside the traditional data center. If you too have workloads that need to live on premises and need a solution to bridge the gap between both worlds, this book will show you how AWS Outposts allows workloads to leverage the benefits of the cloud running on top of AWS technology. In this book, you'll learn what the Edge space is, the capabilities to look for when selecting a solution to operate in this realm, and how AWS Outposts delivers. The use cases for Outposts are thoroughly explained and the physical characteristics are detailed alongside the service logical constructs and facility requirements. You'll gain a comprehensive understanding of the sales process—from order placement to rack delivery to your location. As you advance, you'll explore how AWS Outposts works in real life with step-by-step examples using AWS CLI and AWS Console before concluding your journey with an extensive overview of security and business continuity for maximizing the value delivered by the product. By the end of this book, you'll be able to create compelling hybrid architectures, solve complex use cases for hybrid scenarios, and get ready for your way forward with the help of expert guidance. What you will learnDiscover the role of AWS Outposts in the hybrid edge spaceUnderstand rack components with typical use cases for AWS OutpostsExplore AWS services running on Outposts and its capabilitiesSelect, order, and successfully deploy your OutpostsWork with Outposts resources for hands-on operationsAssess logical and physical security aspects and considerationsMonitor and log configuration and usage to improve your architectureMaintain and troubleshoot hardware and software that run AWS servicesWho this book is for If you are a seasoned data center professional, this book will empower you to support businesses to build hybrid edge solutions with AWS technology. It will also help AWS Cloud professionals to master a unique offering in the AWS portfolio that takes Amazon web services beyond the regions. Familiarity with AWS services and traditional data center concepts is assumed.
Download or read book Simplifying Hybrid Cloud Adoption with AWS written by Frankie Costa Negro and published by Packt Publishing Ltd. This book was released on 2022-11-28 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become an expert in AWS Outposts and Hybrid architectures with in-depth explanations of the product and order processes while exploring the capabilities for creating next-generation edge solutions Key FeaturesLearn AWS Outposts from the ground up guided by an AWS hybrid edge solutions architectMaster hybrid edge concepts, use cases, and architectures and discover how AWS Outposts fits into this spaceBecome the go-to professional for designing, deploying, operating, and maintaining AWS OutpostsBook Description The hybrid edge specialty is often misunderstood because it began with an on-premises-focused view encompassing everything not running inside the traditional data center. If you too have workloads that need to live on premises and need a solution to bridge the gap between both worlds, this book will show you how AWS Outposts allows workloads to leverage the benefits of the cloud running on top of AWS technology. In this book, you'll learn what the Edge space is, the capabilities to look for when selecting a solution to operate in this realm, and how AWS Outposts delivers. The use cases for Outposts are thoroughly explained and the physical characteristics are detailed alongside the service logical constructs and facility requirements. You'll gain a comprehensive understanding of the sales process—from order placement to rack delivery to your location. As you advance, you'll explore how AWS Outposts works in real life with step-by-step examples using AWS CLI and AWS Console before concluding your journey with an extensive overview of security and business continuity for maximizing the value delivered by the product. By the end of this book, you'll be able to create compelling hybrid architectures, solve complex use cases for hybrid scenarios, and get ready for your way forward with the help of expert guidance. What you will learnDiscover the role of AWS Outposts in the hybrid edge spaceUnderstand rack components with typical use cases for AWS OutpostsExplore AWS services running on Outposts and its capabilitiesSelect, order, and successfully deploy your OutpostsWork with Outposts resources for hands-on operationsAssess logical and physical security aspects and considerationsMonitor and log configuration and usage to improve your architectureMaintain and troubleshoot hardware and software that run AWS servicesWho this book is for If you are a seasoned data center professional, this book will empower you to support businesses to build hybrid edge solutions with AWS technology. It will also help AWS Cloud professionals to master a unique offering in the AWS portfolio that takes Amazon web services beyond the regions. Familiarity with AWS services and traditional data center concepts is assumed.
Author: Xiaofei Wang
Publisher: Springer Nature
Published: 2020-08-31
Total Pages: 156
ISBN-13: 9811561869
DOWNLOAD EBOOKAs an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
Download or read book Edge AI written by Xiaofei Wang and published by Springer Nature. This book was released on 2020-08-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
