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Paper Abstract and Keywords
Presentation 2025-03-07 13:40
Evaluation of a Response Time Prediction Model for Microservice Placement to Meet End-to-End Latency Requirements in Geo-distributed Environments
Ryuichi Kitajima, Hirotaka Kasahara, Jun Towada, Mohammad Mikal Bin Amrul Halim Gan, Kohei Yamada, Osamu Sato (SoftBank) SC2024-42
Abstract (in Japanese) (See Japanese page) 
(in English) Application placement in edge computing is particularly important for applications that require real-time data processing, necessitating an optimal placement method that takes into account communication delays and processing times between nodes. To design practical placement methods, it is essential to properly model and formulate the actual environment. In this study, we deployed a microservices-based sample application in geographically distributed computing environments and investigated the impact on real-time performance by varying the data communication volume and the configuration of the application itself. The investigation revealed the following two findings: (1) Communication delay between microservices does not change with an increase in the number of simultaneous requests, but significantly increases with the growth in communication data size. (2) As the number of branching data flows of microservices increases, both the end-to-end response time and its variance increase.
Keyword (in Japanese) (See Japanese page) 
(in English) Microservices / Edge Computing / Mathematical Optimization / Real-time Performance / Geographic Distribution / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 425, SC2024-42, pp. 1-6, March 2025.
Paper # SC2024-42 
Date of Issue 2025-02-28 (SC) 
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 SC2024-42

Conference Information
Committee SC  
Conference Date 2025-03-07 - 2025-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) The Kyoto College of Graduate Studies for Informatics.(Hyakumanben) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2025-03-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of a Response Time Prediction Model for Microservice Placement to Meet End-to-End Latency Requirements in Geo-distributed Environments 
Sub Title (in English)  
Keyword(1) Microservices  
Keyword(2) Edge Computing  
Keyword(3) Mathematical Optimization  
Keyword(4) Real-time Performance  
Keyword(5) Geographic Distribution  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryuichi Kitajima  
1st Author's Affiliation SoftBank Corp. (SoftBank)
2nd Author's Name Hirotaka Kasahara  
2nd Author's Affiliation SoftBank Corp. (SoftBank)
3rd Author's Name Jun Towada  
3rd Author's Affiliation SoftBank Corp. (SoftBank)
4th Author's Name Mohammad Mikal Bin Amrul Halim Gan  
4th Author's Affiliation SoftBank Corp. (SoftBank)
5th Author's Name Kohei Yamada  
5th Author's Affiliation SoftBank Corp. (SoftBank)
6th Author's Name Osamu Sato  
6th Author's Affiliation SoftBank Corp. (SoftBank)
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Speaker Author-1 
Date Time 2025-03-07 13:40:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # SC2024-42 
Volume (vol) vol.124 
Number (no) no.425 
Page pp.1-6 
#Pages 6 
Date of Issue 2025-02-28 (SC) 

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