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Paper Abstract and Keywords
Presentation 2023-03-02 13:40
Task offloading and scheduling with edge-peer computing in multi-stage Information processing system to improve progress of computing process
Hidetoshi Asao (NU), Yukinobu Fukushima (OU), Celimuge Wu (UEC), Yusheng Ji (NII), Tutomu murase (NU) IN2022-79
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a distributed processing control method that improves the total sum of accuracy by offloading and scheduling tasks to the appropriate edge server and peer server in a multi-stage information processing system. The conventional method that process tasks on a first-come, first-served basis at edge-peer servers works well when the number of edge-peer servers is large compared to the number of users. On the other hand, The proposed method works as well as the conventional method when the number of edge-peer servers is large compared to the number of users, and can be effective when the number of edge-peer servers is small compared to the number of users. The proposed method offloads tasks by taking into account the characteristics of tasks, and also optimally schedules tasks with a genetic algorithm by setting the number of parallel processes and changing the processing order at the edge-peer servers.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-stage Information Processing System / Mobile Edge Computing / Genetic Algorithm / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-79, pp. 80-84, March 2023.
Paper # IN2022-79 
Date of Issue 2023-02-23 (IN) 
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 IN2022-79

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Task offloading and scheduling with edge-peer computing in multi-stage Information processing system to improve progress of computing process 
Sub Title (in English)  
Keyword(1) Multi-stage Information Processing System  
Keyword(2) Mobile Edge Computing  
Keyword(3) Genetic Algorithm  
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1st Author's Name Hidetoshi Asao  
1st Author's Affiliation Nagoya University (NU)
2nd Author's Name Yukinobu Fukushima  
2nd Author's Affiliation Okayama University (OU)
3rd Author's Name Celimuge Wu  
3rd Author's Affiliation The University of Electro-Communications (UEC)
4th Author's Name Yusheng Ji  
4th Author's Affiliation National Institute of Informatics (NII)
5th Author's Name Tutomu murase  
5th Author's Affiliation Nagoya University (NU)
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Speaker Author-1 
Date Time 2023-03-02 13:40:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-79 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.80-84 
#Pages 5 
Date of Issue 2023-02-23 (IN) 

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