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| Presentation | 2018-12-22 15:25 A Preliminary Study Towards Autotuning of Performance Models for Magnetic Disk Drives Yutaro Bessho, Kazuo Goda, Yuto Hayamizu, Masaru Kitsuregawa (The Univ. of Tokyo)  DE2018-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the trend of increasing sector density, hard disk drives are becoming more prone to abnormal latencies caused by bad sectors. It is known that such latencies could degrade overall system performance to a non-negligible extent, even if their frequency is quite low. In such a context, it is profitable for users to be able to identify drives in an automated manner that have more bad sectors, which produces more latenies. This work proposes a method to automatically tune the model parameters of different disk drive products by running a simple random access benchmark. Accesses to bad sectors are detected as latency outliers of trained models. Our initial implementation and evaluation shows that for 3 real-world drives with different latency characteristics, our tuning method are capable of accurately predicting their latency range of good sector accesses. It is also shown that sufficiently stable model outputs can be obtained by running the workload for around 1,000 seconds. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | magnetic disk drive / latency / performance model / bad sector / auto tuning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 377, DE2018-30, pp. 71-76, Dec. 2018. | |
| Paper # | DE2018-30 | |
| Date of Issue | 2018-12-14 (DE) | |
| 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 | DE2018-30 |
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| Conference Information | |
| Committee | DE IPSJ-DBS |
| Conference Date | 2018-12-21 - 2018-12-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2018-12-DE-DBS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Preliminary Study Towards Autotuning of Performance Models for Magnetic Disk Drives |
| Sub Title (in English) | |
| Keyword(1) | magnetic disk drive |
| Keyword(2) | latency |
| Keyword(3) | performance model |
| Keyword(4) | bad sector |
| Keyword(5) | auto tuning |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yutaro Bessho |
| 1st Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 2nd Author's Name | Kazuo Goda |
| 2nd Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 3rd Author's Name | Yuto Hayamizu |
| 3rd Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 4th Author's Name | Masaru Kitsuregawa |
| 4th Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2018-12-22 15:25:00 |
| Presentation Time | 30 minutes |
| Registration for | DE |
| Paper # | DE2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | no.377 |
| Page | pp.71-76 |
| #Pages | 6 |
| Date of Issue | 2018-12-14 (DE) |
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