White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Design and performance evaluation of multicast congestion control for the internet

Puangpronpitag, Somnuk (2003) Design and performance evaluation of multicast congestion control for the internet. PhD thesis, University of Leeds.

[img]
Preview
Text
nuk.pdf

Download (979Kb)

Abstract

Multi-rate Multicast Congestion Control (MR-MCC) is a promising opportunity to tackle the multicast congestion control problem in huge and heterogeneous networks like the global Internet. However, it is not easy to provide an MR-MCC design with responsiveness, efficiency of network utilisation, low packet loss, scalability and fairness (including inter-protocol fairness, intra-protocol fairness, intra-session fairness and TCP-friendliness) as well as feasible implementation. This thesis is concerned with the design and performance evaluation of multi-rate multicast congestion control. We aim to address the problems faced by the previous proposals. In doing so, we have established a rigorous performance evaluation methodology via netwrok simulation, and defined a set of key evaluation criteria to test MR-MCC protocols. Then, we have undertaken a performance evaluation of the previously proposed MR-MCC protocols (RLM, RLC, FLID-DL and PLM). Having learnt from our simulation analysis of previous proposals, we propose our innovative design of an experimental MR-MCC protocol, called Explicit Rate Adjustment (ERA). The design goals are scalability, responsiveness, fast convergence, fairness (including intra-session fairness, intra-protocol fairness, and inter-protocol fairness, in particular TCP friendliness), efficiency in network utilisation, and simplicity to implement. We have also implemented our experimental MR-MCC protocol in the ns-2 network simulation package. Through simulation, we demonstrate the performance evaluation of our MR-MCC extensively and demonstrate that it provides the desirable properties mentioned previously.

Item Type: Thesis (PhD)
Additional Information: Supplied directly by the School of Computing, University of Leeds.
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Identification Number/EthosID: uk.bl.ethos.529167
Depositing User: Dr L G Proll
Date Deposited: 03 Mar 2011 16:30
Last Modified: 07 Mar 2014 11:23
URI: http://etheses.whiterose.ac.uk/id/eprint/1312

Actions (repository staff only: login required)