Group Size Estimation for Hybrid Satellite/Terrestrial Reliable Multicast

Belleville, F. de; Dairaine, Laurent; Fraboul, Christian; Tourneret, J.-Y.

doi:10.1007/0-387-24043-8_11

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2009

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“…The scheme can also be used in reliable multicast [9]. In a typical FEC-based reliable multicast, the sender creates from each data block K + n packets.…”

Section: Introductionmentioning

confidence: 99%

"Not All At Once!" - A Generic Scheme for Estimating the Number of Affected Nodes While Avoiding Feedback Implosion

Cohen

Landau

2009

Ieee Infocom 2009

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Abstract-We present a probabilistic polling scheme for estimating the size of a group of nodes affected by the same event. We analyze the bias of the proposed scheme and show how it can be completely eliminated. Our scheme differs from previous work in several important ways. First, it is generic in the sense that it is not dependent on the physical properties of the underlying network. Second, it uses a "one-shot" estimation technique that does not depend on the results of previous rounds. Finally, the estimating nodes control the number of feedback messages, thus allowing a good balance between the overhead imposed by the scheme and its precision. We compared our scheme to previous works and saw a notable performance improvement: our scheme reduced the number of response messages by 80-90% while obtaining the same precision.

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“…The scheme can also be used in reliable multicast [9]. In a typical FEC-based reliable multicast, the sender creates from each data block K + n packets.…”

Section: Introductionmentioning

confidence: 99%

"Not All At Once!" - A Generic Scheme for Estimating the Number of Affected Nodes While Avoiding Feedback Implosion

Cohen

Landau

2009

Ieee Infocom 2009

View full text Add to dashboard Cite

show abstract

Group Size Estimation for Hybrid Satellite/Terrestrial Reliable Multicast

Cited by 1 publication

References 6 publications

"Not All At Once!" - A Generic Scheme for Estimating the Number of Affected Nodes While Avoiding Feedback Implosion

"Not All At Once!" - A Generic Scheme for Estimating the Number of Affected Nodes While Avoiding Feedback Implosion

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