Presentation 2023-05-19
Experimental evaluation of Split computing using actual device
Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio, Kozo Fukui,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Split computing / Machine learning / Wireless LAN
Paper # SeMI2023-12
Date of Issue 2023-05-11 (SeMI)

Conference Information
Committee SeMI / IPSJ-ITS / IPSJ-MBL / IPSJ-DPS
Conference Date 2023/5/18(2days)
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)
Chair Koji Yamamoto(Kyoto Univ.) / Yuichi Tokunaga(Kanazawa Institute of Technology) / Hirozumi Yamaguchi(Osaka University) / Takuo Suganuma(Tohoku University)
Vice Chair Kazuya Monden(Hitachi) / Yasunori Owada(NICT) / Shunsuke Saruwatari(Osaka Univ.)
Secretary Kazuya Monden(NTT DOCOMO) / Yasunori Owada(Tokyo Univ. of Agri. and Tech.) / Shunsuke Saruwatari(Osaka Univ.)
Assistant Yuki Matsuda(NAIST) / Akihito Taya(Aoyama Gakuin Univ.) / Takeshi Hirai(Osaka Univ.)

Paper Information
Registration To Technical Committee on Sensor Network and Mobile Intelligence / Special Interest Group on Intelligent Transport Systems and Smart Community / Special Interest Group on Mobile Computing and Smart Society System / Special Interest Group on Distributed Processing System
Language JPN
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
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)
Date 2023-05-19
Paper # SeMI2023-12
Volume (vol) vol.123
Number (no) SeMI-31
Page pp.pp.50-52(SeMI),
#Pages 3
Date of Issue 2023-05-11 (SeMI)