In this paper, we discuss the efficiency of tunneling techniques which are expected to accelerate multicast deployment. Our motivation is that, despite the proposal of many tunneling techniques, no paper has studied their impact on multicast efficiency. Through detailed computer experiments, we find that there is a critical size of multicast island, above which the loads imposed on tunneling endpoints are suddenly diminished. In addition, multicast islands equaling or exceeding the critical size reduce the overhead of forwarding states on routers. We also find a scaling law between the critical size and group size. Based on these findings, we present simple guidelines on using tunneling when deploying multicast systems. A possible explanation for our findings is uncovered by a simple analysis. Our work is the first to evaluate the impact of tunneling and clarify conditions in which multicast deployment is well supported by tunneling.
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Takeru INOUE, Ryosuke KUREBAYASHI, "An Analysis of Tunneling Impact on Multicast Efficiency" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 1, pp. 38-46, January 2006, doi: 10.1093/ietcom/e89-b.1.38.
Abstract: In this paper, we discuss the efficiency of tunneling techniques which are expected to accelerate multicast deployment. Our motivation is that, despite the proposal of many tunneling techniques, no paper has studied their impact on multicast efficiency. Through detailed computer experiments, we find that there is a critical size of multicast island, above which the loads imposed on tunneling endpoints are suddenly diminished. In addition, multicast islands equaling or exceeding the critical size reduce the overhead of forwarding states on routers. We also find a scaling law between the critical size and group size. Based on these findings, we present simple guidelines on using tunneling when deploying multicast systems. A possible explanation for our findings is uncovered by a simple analysis. Our work is the first to evaluate the impact of tunneling and clarify conditions in which multicast deployment is well supported by tunneling.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.1.38/_p
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@ARTICLE{e89-b_1_38,
author={Takeru INOUE, Ryosuke KUREBAYASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Analysis of Tunneling Impact on Multicast Efficiency},
year={2006},
volume={E89-B},
number={1},
pages={38-46},
abstract={In this paper, we discuss the efficiency of tunneling techniques which are expected to accelerate multicast deployment. Our motivation is that, despite the proposal of many tunneling techniques, no paper has studied their impact on multicast efficiency. Through detailed computer experiments, we find that there is a critical size of multicast island, above which the loads imposed on tunneling endpoints are suddenly diminished. In addition, multicast islands equaling or exceeding the critical size reduce the overhead of forwarding states on routers. We also find a scaling law between the critical size and group size. Based on these findings, we present simple guidelines on using tunneling when deploying multicast systems. A possible explanation for our findings is uncovered by a simple analysis. Our work is the first to evaluate the impact of tunneling and clarify conditions in which multicast deployment is well supported by tunneling.},
keywords={},
doi={10.1093/ietcom/e89-b.1.38},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - An Analysis of Tunneling Impact on Multicast Efficiency
T2 - IEICE TRANSACTIONS on Communications
SP - 38
EP - 46
AU - Takeru INOUE
AU - Ryosuke KUREBAYASHI
PY - 2006
DO - 10.1093/ietcom/e89-b.1.38
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2006
AB - In this paper, we discuss the efficiency of tunneling techniques which are expected to accelerate multicast deployment. Our motivation is that, despite the proposal of many tunneling techniques, no paper has studied their impact on multicast efficiency. Through detailed computer experiments, we find that there is a critical size of multicast island, above which the loads imposed on tunneling endpoints are suddenly diminished. In addition, multicast islands equaling or exceeding the critical size reduce the overhead of forwarding states on routers. We also find a scaling law between the critical size and group size. Based on these findings, we present simple guidelines on using tunneling when deploying multicast systems. A possible explanation for our findings is uncovered by a simple analysis. Our work is the first to evaluate the impact of tunneling and clarify conditions in which multicast deployment is well supported by tunneling.
ER -