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Paper Abstract and Keywords
Presentation 2019-03-05 13:50
A Study of Optimization of MEC Server Placement considering Population Distribution and Link Performance
Tomoaki Osada (UTokyo), Ryokichi Onishi (ITC), Hitoshi Aida (UTokyo) IN2018-140
Abstract (in Japanese) (See Japanese page) 
(in English) Multi-access Edge Computing (MEC) in 5G requires virtual machines to be deployed at the right place to provide low latency or wide bandwidth wihle keeping the minimum deployment to save cost. By using the method of Capacitated Covering Problem the distribution pattern can be obtained but the computation time is long. In this research, it was revealed through the experiments that the effect of eliminating bandwidth constraint is small and the relaxation problem can provide a good result in a short time. In additon, a method to decrease server migrations was investigated, but it revealed that it is needed to compare the cost of the increase of servers and the migration of them.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge Computing / 5G / MEC / Mathematical Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 466, IN2018-140, pp. 337-342, March 2019.
Paper # IN2018-140 
Date of Issue 2019-02-25 (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 IN2018-140

Conference Information
Committee IN NS  
Conference Date 2019-03-04 - 2019-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2019-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Optimization of MEC Server Placement considering Population Distribution and Link Performance 
Sub Title (in English)  
Keyword(1) Edge Computing  
Keyword(2) 5G  
Keyword(3) MEC  
Keyword(4) Mathematical Optimization  
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1st Author's Name Tomoaki Osada  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Ryokichi Onishi  
2nd Author's Affiliation Toyota InfoTechnology Center Co., Ltd. (ITC)
3rd Author's Name Hitoshi Aida  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2019-03-05 13:50:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2018-140 
Volume (vol) vol.118 
Number (no) no.466 
Page pp.337-342 
#Pages 6 
Date of Issue 2019-02-25 (IN) 

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