| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2023-05-19 09:45 Experimental evaluation of Split computing using actual device Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio (Tokyo Tech), Kozo Fukui (AceCode)  SeMI2023-12 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning (ML) inference using Deep Neural Network (DNN) with a technique called Split Computing (SC) has attracted attention. SC is a technology for realizing ML applications by coordinating devices with resource-constrained IoT devices and servers. Conventional ML applications have used on-device types, in which inference processing is performed on the device where data is acquired, and cloud/edge types, in which data is sent from the device to the cloud/edge server for processing. However, in on-device types, significant processing delays occur when the device’s computing power is low, and in cloud/edge types, there is a risk of personal information leakage because raw observation data is sent. With SC, processing delays and risks of personal information leakage can be reduced by collaboratively performing inference processing using DNN between devices and edge servers. We implemented SC on a virtual terminal using Docker containers and conducted experimental evaluations using network emulation with the TC command. Specifically, we defined three types of nodes: a cloud server that manages learning models and inference instructions, an edge server that executes distributed inference processing, and IoT devices. We also implemented a function to compress SC and transmitted data at any split point. The experiments demonstrated that changing the split point when the packet loss rate is high can affect the latency and accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Split computing / Machine learning / Wireless LAN / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 31, SeMI2023-12, pp. 50-52, May 2023. | |
| Paper # | SeMI2023-12 | |
| Date of Issue | 2023-05-11 (SeMI) | |
| 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 | SeMI2023-12 |
|
| Conference Information | |
| Committee | SeMI IPSJ-ITS IPSJ-MBL IPSJ-DPS |
| Conference Date | 2023-05-18 - 2023-05-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology (OIST) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2023-05-SeMI-ITS-MBL-DPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Experimental evaluation of Split computing using actual device |
| Sub Title (in English) | |
| Keyword(1) | Split computing |
| Keyword(2) | Machine learning |
| Keyword(3) | Wireless LAN |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kojin Yorita |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name | Shoki Ohta |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 3rd Author's Name | Kota Maejima |
| 3rd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 4th Author's Name | Kanare Kodera |
| 4th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 5th Author's Name | Yutaro Horikawa |
| 5th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 6th Author's Name | Takayuki Nishio |
| 6th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 7th Author's Name | Kozo Fukui |
| 7th Author's Affiliation | AceCode (AceCode) |
| Speaker | Author-1 |
| Date Time | 2023-05-19 09:45:00 |
| Presentation Time | 15 minutes |
| Registration for | SeMI |
| Paper # | SeMI2023-12 |
| Volume (vol) | vol.123 |
| Number (no) | no.31 |
| Page | pp.50-52 |
| #Pages | 3 |
| Date of Issue | 2023-05-11 (SeMI) |
[Return to Top Page]