On aggregate available bandwidth in many-to-one data transfer.

Hui Shui Cheung.Thesis submitted in: August 2005.Thesis (M.Phil.)--Chinese University of Hong Kong, 2006.Includes bibliographical references (leaves 37-38).Abstracts in English and Chinese.Acknowledgement --- p.iAbstract --- p.ii摘要 --- p.iiiChapter Chapter 1 --- Introduction --- p.1Chapter Chapter 2 --- Related Work --- p.4Chapter Chapter 3 --- Single-Source Bandwidth Availability --- p.6Chapter 3.1 --- Measurement Methodology --- p.6Chapter 3.2 --- Measurement Results --- p.7Chapter Chapter 4 --- Multi-Souce Bandwidth Availability --- p.9Chapter 4.1 --- Correlation Among Senders --- p.9Chapter 4.2 --- Aggregate Bandwidth --- p.10Chapter 4.3 --- Sensitivity Analysis --- p.11Chapter Chapter 5 --- The Measurement System --- p.15Chapter 5.1 --- Overview of PlanetLab --- p.15Chapter 5.2 --- Measurement Tool --- p.16Chapter 5.3 --- Process Control --- p.17Chapter Chapter 6 --- Hybrid-Download Streaming --- p.21Chapter 6.1 --- Introduction --- p.21Chapter 6.2 --- Streaming Algorithm --- p.22Chapter 6.3 --- Performance Evaluation --- p.23Chapter Chapter 7 --- Playback-Adaptive Streaming --- p.26Chapter 7.1 --- Introduction --- p.26Chapter 7.2 --- Streaming Algorithm --- p.27Chapter 7.3 --- Adaptive Rebuffering Algorithm --- p.30Chapter 7.4 --- Performance Evaluation --- p.31Chapter Chapter 8 --- Conclusion --- p.36Bibliography --- p.3

A P2P Platform for real-time multicast video streaming leveraging on scalable multiple descriptions to cope with bandwidth fluctuations

In the immediate future video distribution applications will increase their diffusion thanks tothe ever-increasing user capabilities and improvements in the Internet access speed and performance.The target of this paper is to propose a content delivery system for real-time streaming services based ona peer-to-peer approach that exploits multicast overlay organization of the peers to address thechallenges due to bandwidth heterogeneity. To improve reliability and flexibility, video is coded using ascalable multiple description approach that allows delivery of sub-streams over multiple trees andallows rate adaptation along the trees as the available bandwidth changes. Moreover, we have deployeda new algorithm for tree-based topology management of the overlay network. In fact, tree based overlaynetworks better perform in terms of end-to-end delay and ordered delivery of video flow packets withrespect to mesh based ones. We also show with a case study that the proposed system works better thansimilar systems using only either multicast or multiple trees

Adaptive Multiple Description Video Streaming over Multiple Channels with Active Probing

We investigate how to transmit video with low latency when multiple burst-loss channels are available. We present a transmission strategy based on feedback for multiple description video. The strategy determines dynamically on which channels video frames and probe packets should be sent. Its goal is to find reliable paths and send independent descriptions on different channels. A multiple description with restart coding scheme is used and ensures a high level of error concealment. When errors are detected and a description is corrupted, the scheme selects a reliable ref- erence frame to restart the stream. We also show that the rate of probe packets can be rate-distortion optimized. Experiments demonstrate significant gains over other schemes such as video redundancy coding

Measurement and application of many-to-one data flows.

Ho, Po Yee.Thesis (M.Phil.)--Chinese University of Hong Kong, 2007.Includes bibliographical references (leaves 77-81).Abstracts in English and Chinese.Acknowledgements --- p.iAbstract --- p.ii摘要 --- p.iiiChapter Chapter 1 --- Introduction --- p.1Chapter Chapter 2 --- Background and Related Work --- p.4Chapter 2.1 --- Link/Path Capacity --- p.4Chapter 2.2 --- Unutilized Bandwidth --- p.5Chapter 2.3 --- Achievable Bandwidth --- p.5Chapter Chapter 3 --- Measurement Methodology --- p.7Chapter 3.1 --- PlanetLab Measurement --- p.8Chapter 3.2 --- FTP Measurement --- p.10Chapter Chapter 4 --- Analysis of Measurement Data --- p.12Chapter 4.1 --- Per-Flow Achievable Bandwidth --- p.13Chapter 4.2 --- Inter-Flow Correlation --- p.14Chapter 4.3 --- Intra-Flow Temporal Correlation --- p.16Chapter 4.4 --- Intra-Flow Bandwidth Variation --- p.18Chapter 4.5 --- Predictability of Bandwidth Properties --- p.22Chapter 4.6 --- Long-term Flow Properties --- p.26Chapter Chapter 5 --- A Mathematical Framework --- p.28Chapter 5.1 --- Bandwidth Variations --- p.28Chapter 5.2 --- Bandwidth Predictability --- p.31Chapter 5.3 --- Sensitivity Analysis --- p.34Chapter Chapter 6 --- Predictive Buffering Algorithm --- p.41Chapter 6.1 --- Related Work --- p.43Chapter 6.2 --- System Model --- p.44Chapter 6.3 --- Prediction Algorithm for Constant Bit-Rate Videos --- p.45Chapter 6.4 --- Prediction Algorithm for Variable Bit-Rate Videos --- p.46Chapter 6.5 --- Parameter Estimation --- p.47Chapter Chapter 7 --- Performance Evaluation --- p.49Chapter 7.1 --- Trace-Driven Simulation Setup --- p.49Chapter 7.2 --- Performance over CBR Videos --- p.50Chapter 7.2.1 --- Video Playback Performance --- p.51Chapter 7.2.2 --- Buffering Time --- p.57Chapter 7.3 --- Performance over VBR Videos --- p.61Chapter 7.3.1 --- Video Playback Performance --- p.62Chapter 7.3.2 --- Buffering Time --- p.66Chapter Chapter 8 --- Future Work --- p.69Chapter 8.1 --- Playback Rate Adaptation --- p.70Chapter 8.2 --- Sender Selection Algorithm --- p.71Chapter 8.3 --- Dynamic Flow Allocation --- p.72Chapter 8.4 --- Predictive Flow Allocation --- p.73Chapter 8.5 --- Challenge in P2P Applications --- p.74Chapter Chapter 9 --- Conclusion --- p.76Bibliograph