Presentation 2021-11-26
A Vectorization Method for Device Alarms with High Generalization Performance for AI Application to NW Operations
Ryosuke Sato, Mizuto Nakamura, Seiji Sakuma, Atsushi Takada, Kyoko Yamagoe,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The automation of network operation(NWOP) has been progressing, Recently, AI using machine learning models such as neural networks has been developed to automate more advanced decisions in NWOPs. However, when we use the one-hot encoding for vectorization of the device alarm (ALM), which is commonly used data in many NWOP decisions for the input to the AI, the generalization performance tends to be low despite the huge amount of computation. In this paper, we propose a vectorization method that can reduce the computational complexity and improve the generalization performance byreflecting the relationship information on the NW topology between ALM data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) network automation / machine learning
Paper # ICM2021-32
Date of Issue 2021-11-18 (ICM)

Conference Information
Committee CQ / ICM / NS
Conference Date 2021/11/25(2days)
Place (in Japanese) (See Japanese page)
Place (in English) JR Hakata Stn. Hakata EkiHigashi Rental Room
Topics (in Japanese) (See Japanese page)
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence/AI, etc.
Chair Jun Okamoto(NTT) / Kazuhiko Kinoshita(Tokushima Univ.) / Akihiro Nakao(Univ. of Tokyo)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Haruo Ooishi(NTT) / Eiji Takahashi(NEC) / Tetsuya Oishi(NTT)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Haruo Ooishi(Bosco) / Eiji Takahashi(Fujitsu) / Tetsuya Oishi(NTT)
Assistant Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Yoshifumi Kato(NTT) / Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Communication Quality / Technical Committee on Information and Communication Management / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Vectorization Method for Device Alarms with High Generalization Performance for AI Application to NW Operations
Sub Title (in English)
Keyword(1) network automation
Keyword(2) machine learning
1st Author's Name Ryosuke Sato
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
2nd Author's Name Mizuto Nakamura
2nd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
3rd Author's Name Seiji Sakuma
3rd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
4th Author's Name Atsushi Takada
4th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
5th Author's Name Kyoko Yamagoe
5th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
Date 2021-11-26
Paper # ICM2021-32
Volume (vol) vol.121
Number (no) ICM-264
Page pp.pp.49-54(ICM),
#Pages 6
Date of Issue 2021-11-18 (ICM)