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| Presentation | 2021-03-02 13:25 Performance Evaluation of Dynamic Task Assignment with MEC Platform Kazuki Sawada, Takuji Tachibana (University of Fukui)  PN2020-55 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the MEC platform environment, the MEC server and the cloud server are used together, and the performance of the application can be maintained by appropriately allocating each task to each server. Here, the tasks in an application can be categorized into two types of tasks; real time tasks and non-real time tasks. In addition, in order to reduce the amount of traffic in communication networks, it is necessary to process many tasks on the MEC server. However, it is difficult for the MEC server to process a large number of non-real time tasks due to its low processing performance. In an MEC platform environment, it is necessary to dynamically allocate real time and non-real time tasks to the server according to the situation. In this paper, we evaluate the impact of the server allocation of real time and non-real time tasks on the amount of traffic in communication networks when dynamic task allocation technology is used in the MEC platform environment. We evaluate three different allocation methods by considering the number of tasks, task size, and the maximum processing load of the MEC server. In the performance evaluation, we investigate the impact of various parameters on the amount of traffic for three allocation methods in communication networks. We evaluate the performance of the three allocation methods in a numerical example and show the impact on the amount of traffic in communication networks. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Multi-access edge computing / Cloud server / Application / Task assignment / Performance analysis / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 388, PN2020-55, pp. 76-81, March 2021. | |
| Paper # | PN2020-55 | |
| Date of Issue | 2021-02-22 (PN) | |
| 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 | PN2020-55 |
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| Conference Information | |
| Committee | PN |
| Conference Date | 2021-03-01 - 2021-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PN |
| Conference Code | 2021-03-PN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of Dynamic Task Assignment with MEC Platform |
| Sub Title (in English) | |
| Keyword(1) | Multi-access edge computing |
| Keyword(2) | Cloud server |
| Keyword(3) | Application |
| Keyword(4) | Task assignment |
| Keyword(5) | Performance analysis |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuki Sawada |
| 1st Author's Affiliation | University of Fukui (University of Fukui) |
| 2nd Author's Name | Takuji Tachibana |
| 2nd Author's Affiliation | University of Fukui (University of Fukui) |
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| Speaker | Author-1 |
| Date Time | 2021-03-02 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | PN |
| Paper # | PN2020-55 |
| Volume (vol) | vol.120 |
| Number (no) | no.388 |
| Page | pp.76-81 |
| #Pages | 6 |
| Date of Issue | 2021-02-22 (PN) |
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