Edge Computing Simplified: A Clear and Concise Explanation for Everyone PDF Download

Author: M.B. Chatfield
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 141

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Book Description
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: Javid Taheri
Publisher: IET
ISBN: 1785619403
Category : Computers
Languages : en
Pages : 476

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Book Description
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: Qiang Yang
Publisher: Springer Nature
ISBN: 3030630765
Category : Computers
Languages : en
Pages : 291

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Book Description
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

Author: Theo Lynn
Publisher: Springer Nature
ISBN: 3030411109
Category : Business & Economics
Languages : en
Pages : 183

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Book Description
The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about theInternet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates.

Author: Wenzhong Shi
Publisher: Springer Nature
ISBN: 9811589836
Category : Social Science
Languages : en
Pages : 941

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Book Description
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Author: Frankie Costa Negro
Publisher: Packt Publishing Ltd
ISBN: 1803243708
Category : Computers
Languages : en
Pages : 253

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Book Description
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: Rajkumar Buyya
Publisher: John Wiley & Sons
ISBN: 1119524989
Category : Technology & Engineering
Languages : en
Pages : 512

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Book Description
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.

Author: Perry Lea
Publisher: Packt Publishing Ltd
ISBN: 1839218878
Category : Computers
Languages : en
Pages : 633

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Book Description
Learn to design, implement, and secure your IoT infrastructure. Revised and expanded for edge computing. Key FeaturesBuild a complete IoT system that's the best fit for your organizationLearn about different concepts, tech, and trade-offs in the IoT architectural stackUnderstand the theory and implementation of each element that comprises IoT designBook Description Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices. IoT and Edge Computing for Architects, Second Edition encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains. What you will learnUnderstand the role and scope of architecting a successful IoT deploymentScan the landscape of IoT technologies, from sensors to the cloud and moreSee the trade-offs in choices of protocols and communications in IoT deploymentsBecome familiar with the terminology needed to work in the IoT spaceBroaden your skills in the multiple engineering domains necessary for the IoT architectImplement best practices to ensure reliability, scalability, and security in your IoT infrastructureWho this book is for This book is for architects, system designers, technologists, and technology managers who want to understand the IoT ecosphere, technologies, and trade-offs, and develop a 50,000-foot view of IoT architecture. An understanding of the architectural side of IoT is necessary.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 164

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Book Description
The ABA Journal serves the legal profession. Qualified recipients are lawyers and judges, law students, law librarians and associate members of the American Bar Association.

Author: Indraneel Mitra
Publisher: Packt Publishing Ltd
ISBN: 1801818878
Category : Computers
Languages : en
Pages : 374

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Book Description
Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.