Conference Paper (published)

A simulation model for hybrid multicast

Details

Citation

Alwadani D, Kolberg M & Buford J (2014) A simulation model for hybrid multicast. In: Proceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014. 2014 Eighth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST), Oxford, 10.09.2014-12.09.2014. Washington DC, USA: Institute of Electrical and Electronics Engineering, pp. 112-116. https://doi.org/10.1109/NGMAST.2014.26

Abstract
In order to achieve one-to-many data delivery on the internet, native multicast is used and implemented in some parts of the Internet. On the other hand, application layer multicast (ALM), which uses P2P overlays (overlay multicast, OM), can be used to create multicast trees and deliver the data at the application layer. Despite Native Multicast being more efficient than Application Layer Multicast, it is not deployed widely. A hybrid multicast protocol has been proposed that opportunistically combines overlay multicast protocols and native multicast protocols to create and maintain hybrid multicast trees. The design for hybrid multicast trees leverages the AMT multicast tunneling protocol. It is expected that this hybrid approach will improve both efficiency and availability of multicast. This paper presents a simulation model for the Oversim/Omnet++ simulation framework to evaluate the performance of the hybrid multicast approach. Our model combines both a scalable overlay and a detailed network layer model that includes routers with native multicast support.

StatusPublished
Publication date31/12/2014
Publication date online30/09/2014
URLhttp://hdl.handle.net/1893/22441
PublisherInstitute of Electrical and Electronics Engineering
Place of publicationWashington DC, USA
ISBN978-1-4799-5073-7
Conference2014 Eighth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)
Conference locationOxford
Dates

People (1)

Dr Mario Kolberg

Dr Mario Kolberg

Senior Lecturer, Computing Science

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