Download Free Edge Computing Simplified Book in PDF and EPUB Free Download. You can read online Edge Computing Simplified and write the review.

No detailed description available for "Edge Computing Simplified".
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
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.
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.
A comprehensive guide to Fog and Edge applications, architectures, and technologies Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies. Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing Examines methods to optimize virtualized, pooled, and shared resources Identifies potential technical challenges and offers suggestions for possible solutions Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management Includes access to a website portal for advanced online resources Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.
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
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.
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.
This book provides the state-of-the-art development on security and privacy for fog/edge computing, together with their system architectural support and applications. This book is organized into five parts with a total of 15 chapters. Each area corresponds to an important snapshot. The first part of this book presents an overview of fog/edge computing, focusing on its relationship with cloud technology and the future with the use of 5G communication. Several applications of edge computing are discussed. The second part of this book considers several security issues in fog/edge computing, including the secure storage and search services, collaborative intrusion detection method on IoT-fog computing, and the feasibility of deploying Byzantine agreement protocols in untrusted environments. The third part of this book studies the privacy issues in fog/edge computing. It first investigates the unique privacy challenges in fog/edge computing, and then discusses a privacy-preserving framework for the edge-based video analysis, a popular machine learning application on fog/edge. This book also covers the security architectural design of fog/edge computing, including a comprehensive overview of vulnerabilities in fog/edge computing within multiple architectural levels, the security and intelligent management, the implementation of network-function-virtualization-enabled multicasting in part four. It explains how to use the blockchain to realize security services. The last part of this book surveys applications of fog/edge computing, including the fog/edge computing in Industrial IoT, edge-based augmented reality, data streaming in fog/edge computing, and the blockchain-based application for edge-IoT. This book is designed for academics, researchers and government officials, working in the field of fog/edge computing and cloud computing. Practitioners, and business organizations (e.g., executives, system designers, and marketing professionals), who conduct teaching, research, decision making, and designing fog/edge technology will also benefit from this book The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems, but also applies to students in business, education, and economics, who would benefit from the information, models, and case studies therein.
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.