Autonomic Computing in Cloud Resource Management in Industry 4.0
- Length: 425 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-08-05
- ISBN-10: 3030717550
- ISBN-13: 9783030717551
- Sales Rank: #0 (See Top 100 Books)
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.
Cover Front Matter 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 Challengesin 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 Resource Management in Cloud Virtual Machine Scaling in Autonomic Cloud Resource Management Autonomic Resource Management in a Cloud-Based Infrastructure Environment Digital Dimensions of Industry 4.0: Opportunities for Autonomic Computing and Applications A Study of Resource Management and Security-Based Techniques in Autonomic Cloud Computing Back Matter
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