Economic Models for Managing Cloud Services

Economic Models for Managing Cloud Services

Dong, Hai; Mistry, Sajib; Bouguettaya, Athman

Springer International Publishing AG

06/2019

141

Mole

Inglês

9783319892603

15 a 20 dias

454

Descrição não disponível.
1 Introduction

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 Contributions

1.5 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 Requests

3.5 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 Provider

4.4 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 Composition

5.1 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 Composition

5.6 Experiments and Results

6 Service Providers' Long-term QoS Prediction Model

6.1 Introduction

6.2 The Multivariate QoS Forecasting Framework

6.3 Multivariate QoS Prediction Model (MQPM)

6.4 Forecasting from the MQPM

6.5 Experiments and Results

7 Conclusion

7.1 Future Work
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Cloud Computing;Cloud Services;Infrastructure as a Service (IaaS);Long-term Service Composition;Economic models;Quantitative models;Profit Maximization;Prediction models;Consumer behavior;Dynamic optimization;Evolutionary algorithms;Genetic Algorithm (GA);Ant Colony Optimization (ACO);Multivariate Time-series analysis;Qualitative models;Temporal CP-Nets;Global Optimization;Machine Learning;Q-learning;Statistical Distribution Analysis