Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing

By Rajiv Pandey, this book delves into the role of AI and machine learning in the context of Edge Computing. It explores the impact of these technologies on various domains such as gaming, speech recognition, medical diagnostics, robotics, and computer vision, which are driven by Big Data, AI, machine learning, and distributed computing paradigms like Cloud, Fog, and Edge Computing.

Challenges in Remote Storage and Computing

The book addresses challenges such as remote storage and computing, bandwidth overload due to data transportation from end nodes to the cloud, leading to latency issues, and security concerns in transporting sensitive information across larger gaps in data generation and computing points.

Design Features of Edge Nodes

It also provides insights into the design features of Edge nodes, focusing on storing and running AI/ML algorithms for effective rendering. This reference handbook covers the evolution of distributed systems, including Cloud, Fog, and Edge Computing, and integrates various AI and machine learning techniques for predictions at the Edge rather than in Cloud or remote data centers.

Features and Constraints in Edge Computing

The book offers a comprehensive understanding of the features and constraints in Edge Computing and storage, including hardware constraints and the technological and architectural developments that will overcome these constraints.

Published by Elsevier Science on April 26, 2022, this book is available in English. The ISBNs are 9780128240540 and 9780128240557.