Paper Abstract and Keywords |
Presentation |
2021-03-19 11:15
A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services Tatsuo Kumano, Naoyoshi Ohkawa, Hiroshi Fujita (Fujitsu Labs), Takuya Yoshikawa (Cybozu), Hitoshi Ueno (Fujitsu Labs) ICM2020-70 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In web services, usability decreases and user satisfaction declines when the response time is longer than usual. Operators need to detect and respond to this situation, because these situations will lead to a loss of customers.
To detect an increase in response time, anomaly detection is often used, which automatically recognizes the normal response time using statistical methods.
In this presentation, we propose a method of clustering URLs by response time and detecting anomalies for each cluster and evaluate it with the access logs of a commercial environment. As a result, we confirmed that the accuracy of anomaly detection is higher than that of statistical processing for each URL. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
web services / anomaly detection / clustering / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 433, ICM2020-70, pp. 58-63, March 2021. |
Paper # |
ICM2020-70 |
Date of Issue |
2021-03-11 (ICM) |
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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ICM2020-70 |
Conference Information |
Committee |
ICM |
Conference Date |
2021-03-18 - 2021-03-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
ICM |
Conference Code |
2021-03-ICM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services |
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web services |
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anomaly detection |
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clustering |
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1st Author's Name |
Tatsuo Kumano |
1st Author's Affiliation |
Fujitsu Laboratories Ltd. (Fujitsu Labs) |
2nd Author's Name |
Naoyoshi Ohkawa |
2nd Author's Affiliation |
Fujitsu Laboratories Ltd. (Fujitsu Labs) |
3rd Author's Name |
Hiroshi Fujita |
3rd Author's Affiliation |
Fujitsu Laboratories Ltd. (Fujitsu Labs) |
4th Author's Name |
Takuya Yoshikawa |
4th Author's Affiliation |
Cybozu, Inc. (Cybozu) |
5th Author's Name |
Hitoshi Ueno |
5th Author's Affiliation |
Fujitsu Laboratories Ltd. (Fujitsu Labs) |
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Speaker |
Author-1 |
Date Time |
2021-03-19 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
ICM |
Paper # |
ICM2020-70 |
Volume (vol) |
vol.120 |
Number (no) |
no.433 |
Page |
pp.58-63 |
#Pages |
6 |
Date of Issue |
2021-03-11 (ICM) |
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