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Paper Abstract and Keywords
Presentation 2022-11-18 16:25
Edge Server Placement Decision Method Using Utilization Variance and Eccentricity
Koki Shibata, Sumiko Miyata (SIT) CCS2022-61
Abstract (in Japanese) (See Japanese page) 
(in English) When edge computing is used for automated driving technology or online gaming, it is important to reduce the maximum delay because real-time performance for all users must be ensured. The main types of delay in edge computing are propagation delay, which occurs when sending data, and delay, which occurs at the edge server. Since the average delay of computation requests sent to edge servers depends on server utilization, an increase in utilization bias leads to an increase in maximum delay. In addition, if a user is extremely far from the edge server, the propagation delay for that user will increase. Existing methods aimed to reduce the delay caused by sending jobs between users and edge servers, however, this could result in large variations in the utilization of each edge server, which could also increase the maximum delay. Therefore, In this study, we propose the edge server placement and job assignment method to reduce the maximum delay by considering the distribution of server utilization and the network eccentricity.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge Computing / Delay / Server Placement / Job Allocation / Fairness / Load Balancing / Utilization /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 255, CCS2022-61, pp. 91-96, Nov. 2022.
Paper # CCS2022-61 
Date of Issue 2022-11-10 (CCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 CCS  
Conference Date 2022-11-17 - 2022-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CCS 
Conference Code 2022-11-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Edge Server Placement Decision Method Using Utilization Variance and Eccentricity 
Sub Title (in English)  
Keyword(1) Edge Computing  
Keyword(2) Delay  
Keyword(3) Server Placement  
Keyword(4) Job Allocation  
Keyword(5) Fairness  
Keyword(6) Load Balancing  
Keyword(7) Utilization  
Keyword(8)  
1st Author's Name Koki Shibata  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Sumiko Miyata  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2022-11-18 16:25:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2022-61 
Volume (vol) vol.122 
Number (no) no.255 
Page pp.91-96 
#Pages
Date of Issue 2022-11-10 (CCS) 


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