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Author:   Madhusudhan H. S. (Vidyavardhaka College of Engineering, India) ,  Satish Kumar T ,  Punit Gupta ,  Dinesh Kumar Saini
Publisher:   Taylor & Francis Ltd
Imprint:   Auerbach
Weight:   0.412kg
ISBN:  

9781032559964

ISBN 10:   1032559969
Pages:   206
Publication Date:   02 May 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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Author Information

Madhusudhan H. S. is an Associate Professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Satish Kumar T. is an Associate Professor in the Department of Computer Science and Engineering at BMS Institute of Technology and Management, Bengaluru, Karnataka, India. Punit Gupta is an Post Doc Fellow, School of Computer Science, University College Dublin, Dublin, Ireland. Dinesh Kumar Saini is a Full Professor at the School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India. Kashif Zia is a Research Associate at the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, United Kingdom.

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