Title:

Resilient Capacity-Aware Multicast Based on Overlay Networks


Abstract: 

The global deployment of IP multicast has been slow due to the 
difficulties related to heterogeneity, scalability, manageability,
and lack of a robust inter-domain multicast routing protocol. 
Application-level multicast becomes a promising alternative. Many 
overlay multicast systems have been proposed in recent years. 
However, they are insufficient in supporting applications that 
require any-source multicast with varied host capacities and 
dynamic membership. In this paper, we propose two capacity-aware 
multicast systems that focus on host heterogeneity, any source 
multicast, dynamic membership, and scalability. We extend Chord 
and Koorde to be capacity-aware. We then embed implicit degree-varying 
multicast trees on top of the overlay network and develop multicast 
routines that automatically follow the trees to disseminate multicast 
messages. The implicit trees are well balanced with workload evenly 
spread across the network. We rigorously analyze the expected 
performance of multi-source capacity-aware multicasting, which was 
not thoroughly addressed in any previous work. We also perform 
extensive simulations to evaluate the proposed multicast systems.


Biography:

Shigang Chen received his B.S. degree in computer science from 
University of Science and Technology of China in 1993. He received 
M.S. and Ph.D. degrees in computer science from University of 
Illinois at Urbana-Champaign in 1996 and 1999, respectively. 
After graduation, he had worked with Cisco Systems for three years 
before joining University of Florida as an assistant professor in 
2002. His research interests include network security, quality of 
service, and sensor networks. His email address is sgchen@cise.ulf.edu.