A Simulation Model for Hybrid Multicast

Alwadani, Dhaifallah; Kolberg, Mario; Buford, John F.

doi:10.1109/ngmast.2014.26

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Cited by 2 publications

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“…Suitable evaluation metrics are needed to compare the tree quality of our approach with pure overlay multicast trees. Due to the lack of a suitable simulator that integrates the required tools to test our proposed model, the authors have previously presented an approach to simulating and evaluating hybrid multicast protocols using the Omnet++/INET/Oversim engine and protocol stack [10].…”

Section: A Frameworkmentioning

confidence: 99%

An evaluation of Opportunistic Native Multicast

Alwadani

Kolberg

Buford

2015

2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)

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Section: A Frameworkmentioning

confidence: 99%

An evaluation of Opportunistic Native Multicast

Alwadani

Kolberg

Buford

2015

2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)

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Opportunistic native multicast under churn

Alwadani

Kolberg

Buford

2016

2016 SAI Computing Conference (SAI)

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In this paper we investigate the behaviour of Opportunistic Native Multicast under node churn. Previously, we have introduced an Opportunistic Native Multicast approach that facilitates native multicast where possible and which reverts to using overlay multicast when needed. Here, we are evaluating Overlay Native Multicast in a more realistic environment considering the effect of network churn and propose election algorithms to offer resilience and adaptivity required in the real world. We have developed a mechanism where the network can autonomously and deterministically elect a primary node for each multicast island. We have further investigated ways to improve the efficiency and responsiveness of the protocol by introducing a secondary node selection process. We have tested our proposed improvements using Oversim simulation. We show that Opportunistic Native Multicast can achieve success rates well above 90 percent despite realistic levels of node churn

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A Simulation Model for Hybrid Multicast

Abstract: In order to achieve one-to-many

Cited by 2 publications

References 14 publications

An evaluation of Opportunistic Native Multicast

An evaluation of Opportunistic Native Multicast

Opportunistic native multicast under churn

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