The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 지원 센터의 비용 절감을 위한 응용을 모티브로 링크 레이어 홈 네트워크 토폴로지를 식별하는 방법을 제안한다. 홈 네트워크의 토폴로지를 자동으로 효율적으로 식별할 수 있다면 지원 센터 운영자가 장애 지점을 더 쉽게 식별할 수 있습니다. 당사는 네트워크 장치에서 수집할 수 있는 MAC 주소 전달 테이블(AFT)을 사용합니다. AFT를 사용하여 네트워크 토폴로지를 식별하는 몇 가지 기존 방법이 있지만 우리의 목적에는 충분하지 않습니다. 홈 네트워크에서 일반적인 일부 특정 네트워크 토폴로지에는 적용할 수 없습니다. 우리 방법의 장점은 이러한 토폴로지를 처리할 수 있다는 것입니다. 또한 이 세 가지 방법을 구현하고 실행 시간을 비교했습니다. 결과는 광범위한 적용 가능성에도 불구하고 우리의 방법이 세 가지 방법 중 가장 빠른 것으로 나타났습니다.
Yoshiyuki MIHARA
NTT
Shuichi MIYAZAKI
Kyoto University
Yasuo OKABE
Kyoto University
Tetsuya YAMAGUCHI
NTT
Manabu OKAMOTO
Sojo University
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부
Yoshiyuki MIHARA, Shuichi MIYAZAKI, Yasuo OKABE, Tetsuya YAMAGUCHI, Manabu OKAMOTO, "Identifying Link Layer Home Network Topologies Using HTIP" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 3, pp. 566-577, March 2020, doi: 10.1587/transinf.2019EDP7161.
Abstract: In this article, we propose a method to identify the link layer home network topology, motivated by applications to cost reduction of support centers. If the topology of home networks can be identified automatically and efficiently, it is easier for operators of support centers to identify fault points. We use MAC address forwarding tables (AFTs) which can be collected from network devices. There are a couple of existing methods for identifying a network topology using AFTs, but they are insufficient for our purpose; they are not applicable to some specific network topologies that are typical in home networks. The advantage of our method is that it can handle such topologies. We also implemented these three methods and compared their running times. The result showed that, despite its wide applicability, our method is the fastest among the three.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7161/_p
부
@ARTICLE{e103-d_3_566,
author={Yoshiyuki MIHARA, Shuichi MIYAZAKI, Yasuo OKABE, Tetsuya YAMAGUCHI, Manabu OKAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Identifying Link Layer Home Network Topologies Using HTIP},
year={2020},
volume={E103-D},
number={3},
pages={566-577},
abstract={In this article, we propose a method to identify the link layer home network topology, motivated by applications to cost reduction of support centers. If the topology of home networks can be identified automatically and efficiently, it is easier for operators of support centers to identify fault points. We use MAC address forwarding tables (AFTs) which can be collected from network devices. There are a couple of existing methods for identifying a network topology using AFTs, but they are insufficient for our purpose; they are not applicable to some specific network topologies that are typical in home networks. The advantage of our method is that it can handle such topologies. We also implemented these three methods and compared their running times. The result showed that, despite its wide applicability, our method is the fastest among the three.},
keywords={},
doi={10.1587/transinf.2019EDP7161},
ISSN={1745-1361},
month={March},}
부
TY - JOUR
TI - Identifying Link Layer Home Network Topologies Using HTIP
T2 - IEICE TRANSACTIONS on Information
SP - 566
EP - 577
AU - Yoshiyuki MIHARA
AU - Shuichi MIYAZAKI
AU - Yasuo OKABE
AU - Tetsuya YAMAGUCHI
AU - Manabu OKAMOTO
PY - 2020
DO - 10.1587/transinf.2019EDP7161
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2020
AB - In this article, we propose a method to identify the link layer home network topology, motivated by applications to cost reduction of support centers. If the topology of home networks can be identified automatically and efficiently, it is easier for operators of support centers to identify fault points. We use MAC address forwarding tables (AFTs) which can be collected from network devices. There are a couple of existing methods for identifying a network topology using AFTs, but they are insufficient for our purpose; they are not applicable to some specific network topologies that are typical in home networks. The advantage of our method is that it can handle such topologies. We also implemented these three methods and compared their running times. The result showed that, despite its wide applicability, our method is the fastest among the three.
ER -