Paper Abstract and Keywords |
Presentation |
2023-01-19 13:25
Failure Analysis of Microservices using Continuous DAG Learning Nobukazu Fukuda, Chao Wu, Shingo Horiuchi, Kenichi Tayama (NTT) ICM2022-32 LOIS2022-32 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Microservice / Root Cause Analysis / DAG / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 337, ICM2022-32, pp. 7-12, Jan. 2023. |
Paper # |
ICM2022-32 |
Date of Issue |
2023-01-12 (ICM, LOIS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ICM2022-32 LOIS2022-32 |
Conference Information |
Committee |
LOIS ICM |
Conference Date |
2023-01-19 - 2023-01-20 |
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. |
Paper Information |
Registration To |
ICM |
Conference Code |
2023-01-LOIS-ICM |
Language |
Japanese |
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) |
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Keyword(1) |
Microservice |
Keyword(2) |
Root Cause Analysis |
Keyword(3) |
DAG |
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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 |
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Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2023-01-19 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
ICM |
Paper # |
ICM2022-32, LOIS2022-32 |
Volume (vol) |
vol.122 |
Number (no) |
no.337(ICM), no.338(LOIS) |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2023-01-12 (ICM, LOIS) |
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