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Probabilistic multicast: generalizing the multicast paradigm to improve scalability

Authors: Mostafa H. Ammar;

Probabilistic multicast: generalizing the multicast paradigm to improve scalability

Abstract

The article considers the multicast-to-some generalization of the traditional multicast paradigm. In this form of communication, a multicast group is still associated with each multicast message. It is, however, only necessary for any randomly determined subset of the multicast group to receive a multicast message. This subset is not defined a priori nor is it necessarily the same from one multicast to the next for the same group. It explores the use of this "probabilistic" multicast communication paradigm to address scalability issues in the response collection application which arises in some distributed computing applications. It also shows how this form of multicast can be used to reduce the discarding of responses to the multicast message due to buffer overflow at the multicast source. >

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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