Presentation 2023-01-19
Failure Analysis of Microservices using Continuous DAG Learning
Nobukazu Fukuda, Chao Wu, Shingo Horiuchi, Kenichi Tayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Microservice has become a popular software architecture of ICT services for various benefits. Accordingly, troubleshooting microservices is a challenging issue because of complex service dependencies and large scale. Therefore, we propose a deep learning model to predict the location and propagation of a failure to help understand the system and the root cause. When a failure occurs, the proposed method encodes metrics, non-invasive telemetry, and generates a failure propagation graph which represents the propagation of failure impact. We conducted experiments on a dataset built from microservices and demonstrated that the proposed method can predict the impact of a failure.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Microservice / Root Cause Analysis / DAG
Paper # ICM2022-32,LOIS2022-32
Date of Issue 2023-01-12 (ICM, LOIS)

Conference Information
Committee LOIS / ICM
Conference Date 2023/1/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kitakyushu International Conference Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc.
Chair Hiroyuki Toda(NTT) / Yuji Nomura(Fujitsu)
Vice Chair Manabu Motegi(Takushoku Univ.) / Yu Miyoshi(NTT) / Eiji Takahashi(NEC)
Secretary Manabu Motegi(Nagasaki Univ.) / Yu Miyoshi(NTT) / Eiji Takahashi(NTT)
Assistant Mana Sasagawa(NTT) / Ryo Yamamoto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Information and Communication Management
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Failure Analysis of Microservices using Continuous DAG Learning
Sub Title (in English)
Keyword(1) Microservice
Keyword(2) Root Cause Analysis
Keyword(3) DAG
1st Author's Name Nobukazu Fukuda
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Chao Wu
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
3rd Author's Name Shingo Horiuchi
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
4th Author's Name Kenichi Tayama
4th Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
Date 2023-01-19
Paper # ICM2022-32,LOIS2022-32
Volume (vol) vol.122
Number (no) ICM-337,LOIS-338
Page pp.pp.7-12(ICM), pp.7-12(LOIS),
#Pages 6
Date of Issue 2023-01-12 (ICM, LOIS)