An Adaptive Method for Dynamic Audience Size Estimation in Multicast

Science Direct Working Paper No S1574-034X(04)70286-0

12 Pages Posted: 5 Jun 2017 Last revised: 14 Nov 2018

See all articles by Maziar Nekovee

Maziar Nekovee

BT Exact - Complexity Research Group

Andrea Soppera

BT Exact

Trevor Burbridge

BT Exact

Date Written: September 2003

Abstract

We develop an end-to-end protocol for real-time estimation of the size of dynamic multicast groups. Unlike previously proposed methods our approach alleviates feedback implosion in a dynamic setting, and is scalable to large groups. The protocol is based on probabilistic polling combined with adaptive feedback control, and the use of a time-dependent Wiener filter to enhance estimation accuracy. We examine the performance of our protocol through simulations for multicast groups with up to 10, 000 members, and different scenarios of group membership dynamics. Our simulation studies show that the method is capable of tracking, in a scalable manner, the size of dynamic multicast groups with high accuracy in the face of large dynamic variations.

Keywords: Computer Communication Networks, Performance and Reliability, Computer_systems_organization/0309001

Suggested Citation

Nekovee, Maziar and Soppera, Andrea and Burbridge, Trevor, An Adaptive Method for Dynamic Audience Size Estimation in Multicast (September 2003). Science Direct Working Paper No S1574-034X(04)70286-0, Available at SSRN: https://ssrn.com/abstract=2978399

Maziar Nekovee (Contact Author)

BT Exact - Complexity Research Group ( email )

Polaris 134
Martlesham, Suffolk IP5v3RE
United Kingdom

Andrea Soppera

BT Exact ( email )

Polaris 134
Martlesham, Suffolk IP5v3RE
United Kingdom

Trevor Burbridge

BT Exact

Polaris 134
Martlesham, Suffolk IP5v3RE
United Kingdom

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