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Paper Abstract and Keywords
Presentation 2022-07-15 11:15
Performance Evaluations of In-network Distributed Processing with Efficient Computing Resource Management
Kazuki Murayama, Kenji Kanai (Waseda Univ.), Hidehiro Kanemitsu (Tokyo Univ. of Tech.), Jiro Katto, Hidenori Nakazato, Toshitaka Tsuda (Waseda Univ.) CS2022-33
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we design and implement an efficient computing resource management scheme for a cloud-native IoT service orchestration system. In addition, we evaluate processing delay characteristics of in-network distributed processing for IoT services by using the proposed cloud-native system. For efficient computing resource management, we design the functionality of autonomous service processing delay profiling by adopting a microservice architecture and a container orchestration technology. By using the service profiling functionality, we validate the effectiveness of efficient computing resource management that can reduce the redundant computing resources without degrading the service processing delay.
Keyword (in Japanese) (See Japanese page) 
(in English) Cloud native / Service orchestration / Microservice / Computing resource management / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 110, CS2022-33, pp. 89-94, July 2022.
Paper # CS2022-33 
Date of Issue 2022-07-07 (CS) 
ISSN 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 CS  
Conference Date 2022-07-14 - 2022-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Environmental and Cultural Village Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. 
Paper Information
Registration To CS 
Conference Code 2022-07-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluations of In-network Distributed Processing with Efficient Computing Resource Management 
Sub Title (in English)  
Keyword(1) Cloud native  
Keyword(2) Service orchestration  
Keyword(3) Microservice  
Keyword(4) Computing resource management  
1st Author's Name Kazuki Murayama  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Kenji Kanai  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Hidehiro Kanemitsu  
3rd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
4th Author's Name Jiro Katto  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Hidenori Nakazato  
5th Author's Affiliation Waseda University (Waseda Univ.)
6th Author's Name Toshitaka Tsuda  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-2 
Date Time 2022-07-15 11:15:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2022-33 
Volume (vol) vol.122 
Number (no) no.110 
Page pp.89-94 
Date of Issue 2022-07-07 (CS) 

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