Conference Paper (published)

Hybrid Overlay Multicast Simulation and Evaluation

Details

Citation

Buford J & Kolberg M (2009) Hybrid Overlay Multicast Simulation and Evaluation. In: Institute of Electrical and Electronic Engineers (ed.) 2009 6th IEEE Consumer Communications and Networking Conference: "Empowering the Connected Consumer". CCNC 2009: 6th Annual IEEE Consumer Communications and Networking Conference, Las Vegas, USA, 10.01.2009-13.01.2009. New York, USA: Institute of Electrical and Electronic Engineers, pp. 1-2. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4784809; https://doi.org/10.1109/CCNC.2009.4784809

Abstract
The Scalable Adaptive Multicast Research Group (SAM RG) within the Internet Research Task Force (IRTF) is chartered to define a hybrid multicast protocol that opportunistically combines overlay multicast protocols and native multicast protocols to create and maintain hybrid multicast trees. A design for SAM hybrid multicast trees has been proposed that leverages the AMT multicast tunneling protocol. Evaluating hybrid multicast protocols is difficult for two reasons. The simulation environment must combine both a scalable overlay and a detailed network layer that includes routers with native multicast support. Suitable metrics are needed to compare the tree quality with pure overlay multicast trees. This paper presents our approach to simulating and evaluating hybrid multicast protocols.

Keywords
Delay; IPTV; Internet; Multicast protocols; Network topology; Peer to peer computing; Roentgenium; Routing; Tunneling; Videoconference

StatusPublished
Publication date31/12/2009
Publication date online10/01/2009
Related URLshttp://www.ieee-ccnc.org/2009/
PublisherInstitute of Electrical and Electronic Engineers
Publisher URLhttp://ieeexplore.ieee.org/…arnumber=4784809
Place of publicationNew York, USA
ISBN978-1-4244-2308-8
eISBN978-1-4244-2309-5
ConferenceCCNC 2009: 6th Annual IEEE Consumer Communications and Networking Conference
Conference locationLas Vegas, USA
Dates

People (1)

Dr Mario Kolberg

Dr Mario Kolberg

Senior Lecturer, Computing Science