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Paper Abstract and Keywords
Presentation 2023-11-22 15:20
A Study on Observation of Cascading Changes of Objects in the Kubernetes Control Plane Using Distributed Tracing
Tomoyuki Ehira, Daisuke Kotani, Yasuo Okabe (Kyoto Univ.) IA2023-39
Abstract (in Japanese) (See Japanese page) 
(in English) Kubernetes, a container operations management system, has a mechanism for automatically recovering from failures by maintaining the desired state declared by the cluster administrator. This declarative configuration management method is achieved by having multiple controllers autonomously change and adjust the resources they are responsible for at the cluster management layer, called the control plane. However, there is no method to observe these cascading changes efficiently, and it is not easy to identify to which resource the change propagates and which part of the change propagation takes time. In this study, we propose a novel method to trace changes across components by adding an identifier called a update process ID to the metadata of an object that holds the current or desired state and having a controller that observes changes in that object and propagates that information to the next object. In particular, we addressed the challenges arising from the declarative configuration management characteristic of the control plane by using a method that merges change identifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) Kubernetes / Orchestration / Distributed Tracing / Debugging / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 277, IA2023-39, pp. 18-24, Nov. 2023.
Paper # IA2023-39 
Date of Issue 2023-11-15 (IA) 
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 IA2023-39

Conference Information
Committee IA  
Conference Date 2023-11-22 - 2023-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Aomori Prefecture Tourist Center ASPM (Aomori) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Student Sessions, etc. (cosponsored by Committee on Internet Technology) 
Paper Information
Registration To IA 
Conference Code 2023-11-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Observation of Cascading Changes of Objects in the Kubernetes Control Plane Using Distributed Tracing 
Sub Title (in English)  
Keyword(1) Kubernetes  
Keyword(2) Orchestration  
Keyword(3) Distributed Tracing  
Keyword(4) Debugging  
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1st Author's Name Tomoyuki Ehira  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Daisuke Kotani  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Yasuo Okabe  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2023-11-22 15:20:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2023-39 
Volume (vol) vol.123 
Number (no) no.277 
Page pp.18-24 
#Pages 7 
Date of Issue 2023-11-15 (IA) 

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