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| Presentation | 2022-01-12 10:05 Multitask Scheduling for Reducing Total Memory Consumption while Satisfying Deadlines using Adaptive Control according to Dynamic Change of Task Memory Consumption Ryosuke Arai, Akio Nakata (Hiroshima City Univ)  MSS2021-48 SS2021-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The authors have previously proposed a multi-task scheduling method LMCLF, which can reduce the total memory usage of the entire system while satisfying the real-time constraints by setting priorities that take both memory usage and real-time constraints into account. LMCLF introduces a parameter α, which is arbitrarily set by the designer, and gives higher priority to each task in the decreasing order of the value of "α × (incremental memory usage) + (laxity time) × (remaining computation time)," thereby realizing scheduling that considers both memory usage reduction and deadline guarantee. However, if the memory usage value is extremely large compared to the laxity time and/or remaining computation time values or vice versa, the scheduling will consider almost only one of either memory reduction or deadline guarantee. In this paper, we propose a scheduling method that achieves both memory usage reduction and deadline guarantee for an arbitrary task set by automatically estimating a more appropriate value of the parameter α in LMCLF during the scheduler operation. As a result of simulation experiments, we found that the proposed method is more effective in reducing memory usage than the existing method, and is as effective as LLF scheduling. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Embedded and Real-time Systems / Multitasking Systems / Multiprocessor Systems / Real-time Scheduling / Memory Saving Technology / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 318, SS2021-35, pp. 95-99, Jan. 2022. | |
| Paper # | SS2021-35 | |
| Date of Issue | 2022-01-04 (MSS, SS) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | MSS2021-48 SS2021-35 |
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| Conference Information | |
| Committee | SS MSS |
| Conference Date | 2022-01-11 - 2022-01-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mathematical Systems Science and its Applications, Software Science, etc. |
| Paper Information | |
| Registration To | SS |
| Conference Code | 2022-01-SS-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multitask Scheduling for Reducing Total Memory Consumption while Satisfying Deadlines using Adaptive Control according to Dynamic Change of Task Memory Consumption |
| Sub Title (in English) | |
| Keyword(1) | Embedded and Real-time Systems |
| Keyword(2) | Multitasking Systems |
| Keyword(3) | Multiprocessor Systems |
| Keyword(4) | Real-time Scheduling |
| Keyword(5) | Memory Saving Technology |
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| Keyword(8) | |
| 1st Author's Name | Ryosuke Arai |
| 1st Author's Affiliation | Hiroshima City University (Hiroshima City Univ) |
| 2nd Author's Name | Akio Nakata |
| 2nd Author's Affiliation | Hiroshima City University (Hiroshima City Univ) |
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| Speaker | Author-1 |
| Date Time | 2022-01-12 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | SS |
| Paper # | MSS2021-48, SS2021-35 |
| Volume (vol) | vol.121 |
| Number (no) | no.317(MSS), no.318(SS) |
| Page | pp.95-99 |
| #Pages | 5 |
| Date of Issue | 2022-01-04 (MSS, SS) |
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