Economic Models for Managing Cloud Services
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- Artikel-Nr.: 10463271
Beschreibung
1.1 Cloud Computing
1.2 Cloud Service Models
1.3 Provider Centered Cloud Service Computing
1.4 Use Cases: Cloud Service Composition
1.5 Key Research Challenges
1.4 Research Contributions1.5 Organization
2 Cloud Service Composition: The State of the Art
2.1 Cloud Service Composition from an End User's Perspective
2.2 Cloud Service Composition from a Provider's Perspective
2.3 Economic Models
2.4 Prediction Modeling in Service Composition
2.5 Optimization Approaches in Service Composition
3 Long-term IaaS Composition for Deterministic Requests
3.1 Introduction
3.2 The Heuristics on Consumer Behavior
3.3 The Long-term Composition Framework for Deterministic Requests
3.4 Predicting the Dynamic Behavior of Consumer Requests3.5 An ILP Modeling for Request Optimization
3.6 Experiments and Results
4 Long-term IaaS Composition for Stochastic Requests
4.1 Introduction
4.2 Long-term Dynamic IaaS Composition Framework
4.3 Long-term Economic Model of IaaS Provider4.4 Genetic Optimization using IaaS Economic Model
4.5 Hybrid Adaptive Genetic Algorithm (HAGA) based Composition
4.6 Experiments and Results
5 Long-term Qualitative IaaS Composition5.1 Introduction
5.2 Motivation: A Qualitative IaaS Economic Model with Decision Variables
5.3 The Temporal CP-Net based Qualitative Economic Model
5.4 Optimization Algorithms for Qualitative IaaS Composition
5.5 Reinforcement Learning for Long-term IaaS Requests Composition5.6 Experiments and Results
6 Service Providers' Long-term QoS Prediction Model
6.1 Introduction
6.2 The Multivariate QoS Forecasting Framework6.3 Multivariate QoS Prediction Model (MQPM)
6.4 Forecasting from the MQPM
6.5 Experiments and Results
7 Conclusion
7.1 Future Work
Eigenschaften
Breite: | 163 |
Gewicht: | 422 g |
Höhe: | 247 |
Länge: | 13 |
Seiten: | 141 |
Sprachen: | Englisch |
Autor: | Athman Bouguettaya, Hai Dong, Sajib Mistry |