Autonomic Computing in Cloud Resource Management in Industry 4 0

This book PDF is perfect for those who love Technology & Engineering genre, written by Tanupriya Choudhury and published by Springer Nature which was released on 05 September 2021 with total hardcover pages 409. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Autonomic Computing in Cloud Resource Management in Industry 4 0 books below.

Autonomic Computing in Cloud Resource Management in Industry 4 0
Autonomic Computing in Cloud Resource Management in Industry 4 0
Author : Tanupriya Choudhury
File Size : 42,6 Mb
Publisher : Springer Nature
Language : English
Release Date : 05 September 2021
ISBN : 9783030717568
Pages : 409 pages
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Autonomic Computing in Cloud Resource Management in Industry 4 0 by Tanupriya Choudhury Book PDF Summary

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.

Autonomic Computing in Cloud Resource Management in Industry 4 0

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This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time

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