Autonomic computing in cloud resource management in Industry 4.0
by Choudhury, Tanupriya Dewangan, Bhupesh Kumar Nhu, Nguyen Gia Singh, Bhupesh Kumar Toe, Teoh Teik Tomar, Ravi
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 ant…
Read More ↓Title Statements
- Full title :Autonomic computing in cloud resource management in Industry 4.0 / Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu, editors.
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. Describes self-adaptable framework to find the best optimization techniques automatically based on issues and platforms; Presents a self-optimized model to find the optimal resource from the resource pool; Includes applications to diagnose and heal the system failure, and protect from malicious attacks
Read More ↓Edition Statements
- Publication Date:©2021
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:1 online resource (xvi, 409 pages) : : illustrations (some colour)
Edition Identifiers
- ISBN:9783030717568, 3030717569
- DOI:10.1007/978-3-030-71756-8
- oclc:on1263023452
- LC Classification:QA76.9.A97
- Dewey Decimal:004
Table of Contents
Introduction to cloud resource management -- Emerging paradigms and practices in cloud resource management -- Autonomic computing in Cloud : model and applications -- Autonomic computing : models, applications, and brokerage -- Issues and challenges in autonomic computing and resource management -- A holistic approach : issues and challenges in autonomic computation toward Industry 4.0 -- Resource management issues and challenges in autonomic computing -- Classification of various scheduling approaches for resource management system in cloud computing -- Optimization in autonomic computing and resource management -- A proposed framework for autonomic resource management in Cloud computing environment -- Autonomic computing on cloud computing using architecture adoption models : an empirical review -- Self-protection approach for cloud computing -- Elastic security for autonomic computing using intelligent algorithm -- The architecture of autonomic cloud resource management -- Towards Industry 4.0 through cloud resource management -- A walkthrough in live migration strategies for energy-aware resources management in cloud -- Virtual machine scaling in autonomic cloud resource manag…
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Gender, ethnicity and employment: non-English speaking background migrant…
Haque, Rowshan
Roman crossings: theory and practice in the Roman Republ…
Openness, secrecy, authorship: technical arts and the culture of knowl…
Long, Pamela O.
Files & Downloads
-
Autonomic Computing in Cloud Resource Management …
PDF · 9.3 MB · updated -
Autonomic Computing in Cloud Resource Management …
EPUB · 50.0 MB · updated
Rate & Review