Bandwidth Allocation for Video under Quality of Service Constraints
Specificaties
Inhoudsopgave
<p>ACRONYMS xi</p>
<p>INTRODUCTION xv</p>
<p>CHAPTER 1. PARTITIONING THE END–TO–END QOS BUDGET TO DOMAINS 1</p>
<p>1.1. The need for adding percentiles 2</p>
<p>1.2. Calculation of the weight function 4</p>
<p>1.2.1. Exponential components with identical rate parameters 5</p>
<p>1.2.2. Exponential components with different rate parameters 8</p>
<p>1.2.3. Two–stage Coxian 14</p>
<p>1.3. Interprovider quality of service 18</p>
<p>1.4. Single source shortest path using Dijkstra s algorithm 22</p>
<p>1.5. Conclusions 24</p>
<p>CHAPTER 2. BANDWIDTH ALLOCATION FOR VIDEO: MMPP2 ARRIVALS 27</p>
<p>2.1. The queueing network under study 30</p>
<p>2.2. Single–node decomposition 32</p>
<p>2.3. Bandwidth estimation based on bounds 33</p>
<p>2.4. Validation 38</p>
<p>2.5. Conclusions 46</p>
<p>CHAPTER 3. BANDWIDTH ALLOCATION FOR VIDEO: MAP2 ARRIVALS 47</p>
<p>3.1. The queueing network under study 48</p>
<p>3.2. End–to–end delay estimation based on bounds 50</p>
<p>3.2.1. The interpolation function 52</p>
<p>3.3. Validation 55</p>
<p>3.4. Video traces 57</p>
<p>3.5. Conclusions 64</p>
<p>CHAPTER 4. BANDWIDTH ALLOCATION FOR VIDEO: VIDEO TRACES 67</p>
<p>4.1. The proposed algorithm 70</p>
<p>4.2. Test traces 76</p>
<p>4.3. Bandwidth requirements for homogeneous flows 83</p>
<p>4.4. Bandwidth allocation under percentile delay and jitter constraints 88</p>
<p>4.5. Bandwidth allocation under percentile delay, average jitter and packet loss rate constraints 94</p>
<p>4.6. Conclusions 99</p>
<p>BIBLIOGRAPHY 101</p>
<p>INDEX 109</p>