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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Alwadani, Dhaiffallah
Kolberg, Mario
Buford, John
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Title: A simulation model for hybrid multicast
Citation: Alwadani D, Kolberg M & Buford J (2014) A simulation model for hybrid multicast 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, 10.9.2014 - 12.9.2014, Washington DC, USA: Institute of Electrical and Electronics Engineering, pp. 112-116.
Issue Date: 2014
Conference Name: 2014 Eighth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)
Conference Dates: 2014-09-10T00:00:00Z
Conference Location: Oxford
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.
Type: Conference Paper
Status: Book Chapter: author post-print (pre-copy editing)
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Affiliation: University of Stirling
Computing Science - CSM Dept
Avaya Labs Research

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