Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures
Editat de Madhusudhan H. S., Satish Kumar T, Punit Gupta, Dinesh Kumar Saini, Kashif Ziaen Limba Engleză Paperback – 2 mai 2024
Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include:
- Improving QoS and resource efficiency
- Fault-tolerant and reliable resource optimization models
- A reactive fault tolerance method using checkpointing restart
- Cost and network-aware metaheuristics.
- Virtual machine scheduling and placement
- Electricity consumption in cloud data centers
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Specificații
ISBN-13: 9781032559964
ISBN-10: 1032559969
Pagini: 224
Ilustrații: 148
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.41 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Locul publicării:Boca Raton, United States
ISBN-10: 1032559969
Pagini: 224
Ilustrații: 148
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.41 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Locul publicării:Boca Raton, United States
Public țintă
AcademicCuprins
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.
Notă biografică
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.
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.
Descriere
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.