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| Presentation | 2018-03-09 09:00 Analysis of tasks that continuously generate error events in cloud platforms Koji Mandai, Jun Kawahara, Shoji Kasahara (NAIST)  ICM2017-64 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this research, we analyze the characteristics of failed jobs in data sets recording the execution status of jobs and tasks in the data center called Google Cluster-Usage Traces. It is known that a failure job tends to include many tasks that continuously generate error events. In the existing research, methods to reduce the resource usage such as CPU and memory have been proposed. The method interrupts task execution when a certain number of events occur at execution. In this method, we propose an approach to accurately identify unusual tasks by analyzing the causes of events in detail. With this method, we show that it is possible to reduce 6.92¥% of the CPU usage and 3.75¥% of the memory usage among the total resource utilization, and to reduce the risk of interrupting successfully jobs for the analyzed trace data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cloud / Job Scheduling / Resource Management / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 491, ICM2017-64, pp. 49-54, March 2018. | |
| Paper # | ICM2017-64 | |
| Date of Issue | 2018-03-01 (ICM) | |
| ISSN | Print edition: ISSN 0913-5685 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 | ICM2017-64 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2018-03-08 - 2018-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2018-03-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of tasks that continuously generate error events in cloud platforms |
| Sub Title (in English) | |
| Keyword(1) | Cloud |
| Keyword(2) | Job Scheduling |
| Keyword(3) | Resource Management |
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| 1st Author's Name | Koji Mandai |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Jun Kawahara |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Shoji Kasahara |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2018-03-09 09:00:00 |
| Presentation Time | 20 minutes |
| Registration for | ICM |
| Paper # | ICM2017-64 |
| Volume (vol) | vol.117 |
| Number (no) | no.491 |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2018-03-01 (ICM) |
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