| Presentation | 2021-03-19 A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services Tatsuo Kumano, Naoyoshi Ohkawa, Hiroshi Fujita, Takuya Yoshikawa, Hitoshi Ueno, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | web services / anomaly detection / clustering |
| Paper # | ICM2020-70 |
| Date of Issue | 2021-03-11 (ICM) |
| Conference Information | |
| Committee | ICM |
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| Conference Date | 2021/3/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuhiko Kinoshita(Tokushima Univ.) |
| Vice Chair | Yoichi Sato(OSL) / Haruo Ooishi(NTT) |
| Secretary | Yoichi Sato(NTT) / Haruo Ooishi(Bosco) |
| Assistant | Tetsuya Uchiumi(Fujitsu Lab.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Management |
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| Language | JPN |
| 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 |
| Sub Title (in English) | |
| Keyword(1) | web services |
| Keyword(2) | anomaly detection |
| Keyword(3) | clustering |
| Keyword(4) | |
| 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) |
| Date | 2021-03-19 |
| Paper # | ICM2020-70 |
| Volume (vol) | vol.120 |
| Number (no) | ICM-433 |
| Page | pp.pp.58-63(ICM), |
| #Pages | 6 |
| Date of Issue | 2021-03-11 (ICM) |