Overview

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 DescriptionThe 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 forEdge 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.

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9781835884188

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Perry Lea is a fellow and chief architect of HP's Advanced Computing Solutions where he works on high performance computing and edge computing solutions. He is also founder of two startups: ConvIOT and Computational Vision. Before that he served as Distinguished Technologist of the Imaging and Printing Group of Hewlett Packard and Distinguished Member of the Technical Staff at Micron. Later he was the architectural director for Microsoft's Xbox game console and cloud system. Perry has authored over 75 patents and has recently published “Edge Computing and Internet of Things for Architects”. He holds engineering degrees in computer science, computer engineering and a postgrad degree in electrical engineering from Columbia University.

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