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Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures
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Artikel-Nr:
9781032559964
Veröffentl:
2024
Erscheinungsdatum:
02.05.2024
Seiten:
206
Autor:
Dinesh Kumar Saini
Gewicht:
352 g
Format:
232x155x16 mm
Sprache:
Deutsch
Beschreibung:
Madhusudhan H. S. is an Associate Professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
The book examines virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of the cloud data center. The book also focuses on basic design principles and analysis of virtual machine placement techniques and tasks allocation techniques.
1. Introduction to Optimization in Cloud Computing. 2. Improve QoS and Resource Efficiency in Cloud Using Neural Network. 3. Machine Learning-Based Optimization Approach to Analyze Text-Based Reviews for Improving Graduation Rates for Cloud-Based Architectures. 4. An Energy-Aware Optimization Model Using a Hybrid Approach. 5. Fault Tolerant and Reliable Resource Optimization Model for Cloud. 6. Asynchronous Checkpoint/Restart Fault Tolerant Model for Cloud. 7. Fault Prediction Models for Optimized Delivery of Cloud Services. 8. Secured Transactions in Storage System for Real-Time Blockchain Network Monitoring System. 9. Service Scaling and Cost- Prediction-Based Optimization in Cloud Computing. 10. Cost- and Network-Aware Metaheuristic Cloud Optimization. 11. The Role of SLA and Ethics in Cost Optimization for Cloud Computing.