We present queueing-based algorithms to calculate the bandwidth required for a video stream so that the three main Quality of Service constraints, i.e., end-to-end delay, jitter and packet loss, are ensured.
Conversational and streaming video-based applications are becoming a major part of the everyday Internet usage. The quality of these applications (Qo S), as experienced by the user, depends on three main metrics of the underlying network, namely, end-to-end delay, jitter and packet loss. These metrics are, in turn, directly related to the capacity of the links that the video traffic traverses from its source to destination. The main problem that this book addresses is how much bandwidth we should allocate on the path from source to destination of a video traffic flow such that the end-to-end delay, jitter and packet loss of the video packets are within some expected required bounds.
Table des matières
BIOGRAPHIES vii
ACRONYMS xi
INTRODUCTION xv
CHAPTER 1. PARTITIONING THE END-TO-END QOS BUDGET TO DOMAINS
1
1.1. The need for adding percentiles 2
1.2. Calculation of the weight function 4
1.2.1. Exponential components with identical rate parameters
5
1.2.2. Exponential components with different rate parameters
8
1.2.3. Two-stage Coxian 14
1.3. Interprovider quality of service 18
1.4. Single source shortest path using Dijkstra’s
algorithm 22
1.5. Conclusions 24
CHAPTER 2. BANDWIDTH ALLOCATION FOR VIDEO: MMPP2 ARRIVALS
27
2.1. The queueing network under study 30
2.2. Single-node decomposition 32
2.3. Bandwidth estimation based on bounds 33
2.4. Validation 38
2.5. Conclusions 46
CHAPTER 3. BANDWIDTH ALLOCATION FOR VIDEO: MAP2 ARRIVALS
47
3.1. The queueing network under study 48
3.2. End-to-end delay estimation based on bounds 50
3.2.1. The interpolation function 52
3.3. Validation 55
3.4. Video traces 57
3.5. Conclusions 64
CHAPTER 4. BANDWIDTH ALLOCATION FOR VIDEO: VIDEO TRACES
67
4.1. The proposed algorithm 70
4.2. Test traces 76
4.3. Bandwidth requirements for homogeneous flows 83
4.4. Bandwidth allocation under percentile delay and jitter
constraints 88
4.5. Bandwidth allocation under percentile delay, average jitter
and packet loss rate constraints 94
4.6. Conclusions 99
BIBLIOGRAPHY 101
INDEX 109
A propos de l’auteur
Bushra Anjum, Computer Science Department, North Carolina State University, USA.
Harry Perros, Alumni Distinguished Professor, Computer Science Department, North Carolina State University, USA.
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