IEICE TRANSACTIONS on Information
Real-Time Monitoring of Multicast Group Information
Summary :
This paper presents a method to monitor information of a large-sized multicast group that can follow the group's dynamics in real-time while avoiding feedback implosion by using probabilistic polling. In particular, this paper improves the probabilistic-polling-based approach by deriving a reference mean value as the reference control value for the number of expected feedback from the properties of a binomial estimation model. As a result, our method adaptively changes its estimation parameters depending on the feedback from receivers in order to achieve a fast estimate time with high accuracy, while preventing the possible occurrence of feedback implosion. Our experimental implementation and evaluation on PlanetLab showed that the proposed method effectively controls the number of feedback and accurately estimates the size of a dynamic multicast group.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.8 pp.2213-2222
- Publication Date
- 2010/08/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.2213
- Type of Manuscript
- PAPER
- Category
- Information Network
Authors
Keyword
Latest Issue
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Achmad BASUKI, Achmad Husni THAMRIN, Hitoshi ASAEDA, Jun MURAI, "Real-Time Monitoring of Multicast Group Information" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 8, pp. 2213-2222, August 2010, doi: 10.1587/transinf.E93.D.2213.
Abstract: This paper presents a method to monitor information of a large-sized multicast group that can follow the group's dynamics in real-time while avoiding feedback implosion by using probabilistic polling. In particular, this paper improves the probabilistic-polling-based approach by deriving a reference mean value as the reference control value for the number of expected feedback from the properties of a binomial estimation model. As a result, our method adaptively changes its estimation parameters depending on the feedback from receivers in order to achieve a fast estimate time with high accuracy, while preventing the possible occurrence of feedback implosion. Our experimental implementation and evaluation on PlanetLab showed that the proposed method effectively controls the number of feedback and accurately estimates the size of a dynamic multicast group.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2213/_p
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@ARTICLE{e93-d_8_2213,
author={Achmad BASUKI, Achmad Husni THAMRIN, Hitoshi ASAEDA, Jun MURAI, },
journal={IEICE TRANSACTIONS on Information},
title={Real-Time Monitoring of Multicast Group Information},
year={2010},
volume={E93-D},
number={8},
pages={2213-2222},
abstract={This paper presents a method to monitor information of a large-sized multicast group that can follow the group's dynamics in real-time while avoiding feedback implosion by using probabilistic polling. In particular, this paper improves the probabilistic-polling-based approach by deriving a reference mean value as the reference control value for the number of expected feedback from the properties of a binomial estimation model. As a result, our method adaptively changes its estimation parameters depending on the feedback from receivers in order to achieve a fast estimate time with high accuracy, while preventing the possible occurrence of feedback implosion. Our experimental implementation and evaluation on PlanetLab showed that the proposed method effectively controls the number of feedback and accurately estimates the size of a dynamic multicast group.},
keywords={},
doi={10.1587/transinf.E93.D.2213},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Real-Time Monitoring of Multicast Group Information
T2 - IEICE TRANSACTIONS on Information
SP - 2213
EP - 2222
AU - Achmad BASUKI
AU - Achmad Husni THAMRIN
AU - Hitoshi ASAEDA
AU - Jun MURAI
PY - 2010
DO - 10.1587/transinf.E93.D.2213
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2010
AB - This paper presents a method to monitor information of a large-sized multicast group that can follow the group's dynamics in real-time while avoiding feedback implosion by using probabilistic polling. In particular, this paper improves the probabilistic-polling-based approach by deriving a reference mean value as the reference control value for the number of expected feedback from the properties of a binomial estimation model. As a result, our method adaptively changes its estimation parameters depending on the feedback from receivers in order to achieve a fast estimate time with high accuracy, while preventing the possible occurrence of feedback implosion. Our experimental implementation and evaluation on PlanetLab showed that the proposed method effectively controls the number of feedback and accurately estimates the size of a dynamic multicast group.
ER -
English
