Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3217
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Kolberg, Mario
Buford, John
Contact Email: mko@cs.stir.ac.uk
Title: An XCAST Multicast Implementation for the OverSim Simulator
Citation: Kolberg M & Buford J (2010) An XCAST Multicast Implementation for the OverSim Simulator 7th IEEE Consumer Communications and Networking Conference (CCNC), 2010, IEEE Consumer Communications and Networking Conference (CCNC), Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 1-5.
Issue Date: Jan-2010
Series/Report no.: IEEE Consumer Communications and Networking Conference (CCNC)
Conference Name: IEEE Consumer Communications and Networking Conference (CCNC)
Abstract: The development of hybrid multicast simulation models is required for analyzing proposed hybrid multicast architectures such as those from the IRTF Scalable Adaptive Multicastw Research Group. However most network layer simulators don't scale to the number of nodes needed for analyzing large overlays, and most overlay simulators don't have multicast routing models needed for analyzing hybrid approaches. In this work we have extended the OverSim simulator and INET framework which run on OMNET++ to include a multi-destination multicast routing protocol (XCAST). This paper describes our implementation experience.
Type: Conference Paper
Status: Author Version
Rights: Published in 7th IEEE Consumer Communications and Networking Conference (CCNC), 2010 by Institute of Electrical and Electronics Engineers (IEEE).; © 2010 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.
URI: http://hdl.handle.net/1893/3217
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5421604
Affiliation: Computing Science - CSM Dept
Avaya Labs Research

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