Autonomic Computing in Cloud Resource Management in Industry 4.0

Autonomic Computing in Cloud Resource Management in Industry 4.0

Tomar, Ravi; Choudhury, Tanupriya; Nhu, Nguyen Gia; Dewangan, Bhupesh Kumar; Singh, Bhupesh Kumar; Toe, Teoh Teik

Springer Nature Switzerland AG

08/2022

409

Mole

Inglês

9783030717582

15 a 20 dias

652

Descrição não disponível.
Introduction.- Introduction to Cloud Resource Management.- Autonomic Computing in Cloud.- Model, and Applications.- Issues and challenges in Autonomic computing and resource management.- The architecture of Autonomic Cloud Resource Management.- A self-adaptable framework to find best optimization techniques.- Healing application against resource failure.- Modelling re-installation components to adapt system configuration.- Self-protection application to defend the malicious request.- Resource management system for scheduling.- Comparative Analysis of various autonomic management systems in the cloud.- Applicability of Autonomic computing in resource management.- Conclusion.
Resource Scheduling;Load Balancing;Autonomic Computing;Self-optimization;Self-healing;Self-protection;Self-configuration