Computing At The Edge


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Edge Computing


Edge Computing

Author: Ajit Singh

language: en

Publisher: Ajit Singh

Release Date: 2024-04-15


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This book features Edge Computing with respect to Mobile, IoT and IIoT technologies from evolution, architecture, implementation and standard role of IoT. All aspects have been covered with in-depth real-life and practical use cases from industry. This book covers the curriculum of the Edge Computing course at prominent global Universities / Institutions.

Edge Computing Simply In Depth


Edge Computing Simply In Depth

Author: Ajit Singh

language: en

Publisher:

Release Date: 2020-02-06


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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

Fog and Edge Computing


Fog and Edge Computing

Author: Rajkumar Buyya

language: en

Publisher: John Wiley & Sons

Release Date: 2018-12-31


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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.