0%

Book Description

Based on a convergence of network technologies, the Next Generation Network (NGN) is being deployed to carry high quality video and voice data. In fact, the convergence of network technologies has been driven by the converging needs of end-users.

The perceived end-to-end quality is one of the main goals required by users that must be guaranteed by the network operators and the Internet Service Providers, through manufacturer equipment. This is referred to as the notion of Quality of Experience (QoE) and is becoming commonly used to represent user perception. The QoE is not a technical metric, but rather a concept consisting of all elements of a user's perception of the network services. The authors of this book focus on the idea of how to integrate the QoE into a control-command chain in order to construct an adaptive network system. More precisely, in the context of Content-Oriented Networks used to redesign the current Internet architecture to accommodate content-oriented applications and services, they aim to describe an end-to-end QoE model applied to a Content Distribution Network architecture.

Table of Contents

  1. Cover
  2. Contents
  3. Title
  4. Copyright
  5. List of Figures
  6. Preface
  7. Introduction
  8. Chapter 1: Network Control Based on Smart Communication Paradigm
    1. 1.1. Motivation
    2. 1.2. General framework
    3. 1.3. Main innovations
    4. 1.4. Conclusion
  9. Chapter 2: Quality of Experience
    1. 2.1. Motivation
    2. 2.2. QoE concept
    3. 2.3. Importance of QoE
    4. 2.4. QoE metrics
    5. 2.5. QoE measurement methods
    6. 2.6. QoS/QoE relationship
    7. 2.7. Impact of networking on QoE
    8. 2.8. Conclusion
  10. Chapter 3: Content Distribution Network
    1. 3.1. Motivation
    2. 3.2. Routing layer
    3. 3.3. Meta-routing layer
    4. 3.4. Conclusion
  11. Chapter 4: User-Driven Routing Algorithm Application for CDN Flow
    1. 4.1. Introduction
    2. 4.2. Reinforcement learning and Q-routing
    3. 4.3. Q-learning
    4. 4.4. Q-routing
    5. 4.5. Related works and motivation
    6. 4.6. QQAR routing algorithm
    7. 4.7. Experimental results
    8. 4.8. Conclusion
  12. Chapter 5: User-Driven Server Selection Algorithm for CDN Architecture
    1. 5.1. Introduction
    2. 5.2. Multi-armed bandit formalization
    3. 5.3. Server selection schemes
    4. 5.4. Our proposal for QoE-based server selection method
    5. 5.5. Experimental results
    6. 5.6. Acknowledgment
    7. 5.7. Conclusion
  13. Conclusion
  14. Bibliography
  15. Index