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· 분류 : 외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지
· ISBN : 9781032553801
· 쪽수 : 224쪽
· 출판일 : 2024-05-02
목차
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. Energy Aware Optimization Model Using 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 of Storage System for Real-Time Blockchain Network Monitoring System. 9. Service Scaling and Cost Prediction Based Optimization in Cloud. 10. Cost and Network Aware Metaheuristic Cloud Optimization. 11. Role of SLA and Ethics in Cost Optimization for Cloud Computing.















