Computation Platforms for Multi-access Edge Computing

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Synopsis
This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources. Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs. The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies.
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9789819689354
Related ISBNs:
9789819689347
Publisher:
Springer Nature Singapore
Date of Addition:
Copyrighted By:
The Editor
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Hideharu Amano

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