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Paper Abstract and Keywords
Presentation 2021-03-04 10:40
Latency-based Dynamic Edge Offloading Framework of Containerized Applications for Connected Cars
Toru Furusawa (Toyota/Univ. of Tokyo), Hiroshi Abe (Toyota), Akihiro Nakao (Univ. of Tokyo) NS2020-131
Abstract (in Japanese) (See Japanese page) 
(in English) Edge offloading, which executes applications for vehicles on edge servers, enables the reduction of power consumption and development costs of in-vehicle devices. In particular, edge offloading is effective for the kinds of applications that require a response within a few seconds but do not directly affect driving control, such as license plate image recognition of surrounding vehicles. However, when an increase in network delay or a decrease in the processing capacity of the edge server occurs due to vehicle movement or changes in the surrounding environment, the application processing time temporarily and significantly increases. On the other hand, with the spread of container virtualization technology in recent years, it is predicted that container-based applications will be able to run on in-vehicle devices and edge servers in addition to the cloud in the future. In this paper, we propose a framework for offloading container-based applications for vehicles to the optimal destination among in-vehicle devices, edge servers, and clouds. To stably continue offloading by dynamically changing an offloading destination based on a measured value of processing delay between an in-vehicle device, each edge server, and a cloud. The framework is implemented using Kubernetes. Experiments show that when network delays or edge server CPU processing time degradation occurs, the offloading destination switches within one second and offloading can continue stably while lowering the average processing time.
Keyword (in Japanese) (See Japanese page) 
(in English) connected car / edge computing / edge offloading / container / Kubernetes / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 413, NS2020-131, pp. 49-54, March 2021.
Paper # NS2020-131 
Date of Issue 2021-02-25 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IN NS  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2021-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Latency-based Dynamic Edge Offloading Framework of Containerized Applications for Connected Cars 
Sub Title (in English)  
Keyword(1) connected car  
Keyword(2) edge computing  
Keyword(3) edge offloading  
Keyword(4) container  
Keyword(5) Kubernetes  
1st Author's Name Toru Furusawa  
1st Author's Affiliation Toyota Motor Corporation/The University of Tokyo (Toyota/Univ. of Tokyo)
2nd Author's Name Hiroshi Abe  
2nd Author's Affiliation Toyota Motor Corporation (Toyota)
3rd Author's Name Akihiro Nakao  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Date Time 2021-03-04 10:40:00 
Presentation Time 20 
Registration for NS 
Paper # IEICE-NS2020-131 
Volume (vol) IEICE-120 
Number (no) no.413 
Page pp.49-54 
#Pages IEICE-6 
Date of Issue IEICE-NS-2021-02-25 

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