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| Paper Abstract and Keywords | ||
| Presentation | 2020-11-13 10:35 Study on Responsibility Inference Technology for Deployment Failure of Container Application Masae Okada, Yuki Naganuma, Keisuke Hatasaki (Hitachi)  KBSE2020-10 SC2020-14 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, container virtualization technology has become popular. Utilizing this technology, it is easy for users to deploy and use applications provided by developers in their own environment. However, application deployment may fail due to various factors. When failure happens, users need to decide whether asking developers for help or trying to solve the problem by themselves. Basically, it depends on the attribution of the failure, whether this failure comes from a bug in application or environment’s incompatibility. However, in real cases, both application side and environment side knowledge is required to determine a failure’s attribution. This is not easy task for application users. In this paper, we propose a new method to infer the responsibility of container application’s deployment failure. This method is based on features created from environmental information and text analysis on error logs. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Container application / Deployment error / Infrastructure as Code(IaC) / Failure’s attribution / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 232, SC2020-14, pp. 7-12, Nov. 2020. | |
| Paper # | SC2020-14 | |
| Date of Issue | 2020-11-06 (KBSE, SC) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | KBSE2020-10 SC2020-14 |
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| Conference Information | |
| Committee | KBSE SC |
| Conference Date | 2020-11-13 - 2020-11-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online + Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SC |
| Conference Code | 2020-11-KBSE-SC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Responsibility Inference Technology for Deployment Failure of Container Application |
| Sub Title (in English) | |
| Keyword(1) | Container application |
| Keyword(2) | Deployment error |
| Keyword(3) | Infrastructure as Code(IaC) |
| Keyword(4) | Failure’s attribution |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masae Okada |
| 1st Author's Affiliation | Hitachi, Ltd. (Hitachi) |
| 2nd Author's Name | Yuki Naganuma |
| 2nd Author's Affiliation | Hitachi, Ltd. (Hitachi) |
| 3rd Author's Name | Keisuke Hatasaki |
| 3rd Author's Affiliation | Hitachi, Ltd. (Hitachi) |
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| Speaker | Author-1 |
| Date Time | 2020-11-13 10:35:00 |
| Presentation Time | 30 minutes |
| Registration for | SC |
| Paper # | KBSE2020-10, SC2020-14 |
| Volume (vol) | vol.120 |
| Number (no) | no.231(KBSE), no.232(SC) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2020-11-06 (KBSE, SC) |
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