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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
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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)
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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  
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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)
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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
Date of Issue 2023-05-11 (SeMI) 


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