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| Presentation | 2020-07-17 13:25 Development of VDI Quality Analysis System -- Anomaly Detection of Service Quality and Cause Analysis -- Shinji Yamashita, Hitoshi Ueno (Fujitsu Lab.), Takuya Nitta (Fujitsu), Hiroshi Tomonaga, Masato Okuda (Fujitsu Lab.)  ICM2020-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Due to the influence of recent COVID-19 virus, telework has been penetrated rapidly and regarded as a standard workstyle in new-normal era. Especially, Virtual Desktop Infrastructure (VDI) attracts lot of attention as it enables secured telework with thin client. On the other hand, with the explosive increase of telework users, VDI users are facing such difficulties as taking much time for login, not being able to start applications. Also, VDI operators strongly hope to solve these problems before receiving claims from users. Currently, VDI operators can detect load increase in server or storage system by checking logs, but it is difficult to know how long it takes for users to login VDI systems, or which application is causing much load. In this paper we have developed VDI Quality analysis system that analyze network capture data among users, cloud and VDI systems. By this system, VDI operators can detect anomalies from login time of users and analyze the load of cloud service. We also tested the system in internal VDI systems and confirmed the effectiveness of the system. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | VDI / Telework / Cloud / Anomaly Detection / JIT / ARIMA / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 109, ICM2020-17, pp. 55-60, July 2020. | |
| Paper # | ICM2020-17 | |
| Date of Issue | 2020-07-09 (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) | |
| Download PDF | ICM2020-17 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2020-07-16 - 2020-07-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2020-07-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of VDI Quality Analysis System |
| Sub Title (in English) | Anomaly Detection of Service Quality and Cause Analysis |
| Keyword(1) | VDI |
| Keyword(2) | Telework |
| Keyword(3) | Cloud |
| Keyword(4) | Anomaly Detection |
| Keyword(5) | JIT |
| Keyword(6) | ARIMA |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shinji Yamashita |
| 1st Author's Affiliation | Fujitsu Laboratories Ltd. (Fujitsu Lab.) |
| 2nd Author's Name | Hitoshi Ueno |
| 2nd Author's Affiliation | Fujitsu Laboratories Ltd. (Fujitsu Lab.) |
| 3rd Author's Name | Takuya Nitta |
| 3rd Author's Affiliation | Fujitsu (Fujitsu) |
| 4th Author's Name | Hiroshi Tomonaga |
| 4th Author's Affiliation | Fujitsu Laboratories Ltd. (Fujitsu Lab.) |
| 5th Author's Name | Masato Okuda |
| 5th Author's Affiliation | Fujitsu Laboratories Ltd. (Fujitsu Lab.) |
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| Speaker | Author-1 |
| Date Time | 2020-07-17 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | ICM |
| Paper # | ICM2020-17 |
| Volume (vol) | vol.120 |
| Number (no) | no.109 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2020-07-09 (ICM) |
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