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Paper Abstract and Keywords
Presentation 2026-03-04 15:15
Job Scheduling in Wide-Area Distributed Computing Infrastructures with Awareness of Distributed Cache Information
Hiroki Kano, Naoya Shibayama, Kentaro Sasaki (TMC) NS2025-266
Abstract (in Japanese) (See Japanese page) 
(in English) In wide-area distributed infrastructures for AI training, remote data access over wide-area networks increases GPU idle time and becomes a major bottleneck for training performance.Distributed caching, where the same data is placed across multiple sites, is an effective approach to address this issue.To maximize its benefit, jobs that use the same data need to be executed repeatedly at sites where the data is already cached.
This paper proposes a job scheduling method that takes distributed cache information into account.The key feature of the proposed method is the introduction of a static constraint, called cache-permitted sites, instead of directly handling dynamically changing cache contents at each site.Cache-permitted sites are defined as the set of sites where each dataset is allowed to be cached, and they are determined in advance based on dataset usage.The scheduler assigns training jobs only to sites where caching of the required datasets is permitted.As a result, jobs using the same datasets are concentrated at a limited number of sites, which suppresses redundant cache placement across sites.
Furthermore, by considering only statically defined information, the cache system and the scheduler can be implemented in a loosely coupled manner.
We implemented the proposed method on Kubernetes and evaluated it in a wide-area distributed environment between Tokyo and Okinawa connected by IOWN APN.The results show that the proposed method reduces the total execution time of an AI training workload by 15%.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed cache / Job scheduler / Kubernetes / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 385, NS2025-266, pp. 268-273, March 2026.
Paper # NS2025-266 
Date of Issue 2026-02-25 (NS) 
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 NS2025-266

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2026-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Job Scheduling in Wide-Area Distributed Computing Infrastructures with Awareness of Distributed Cache Information 
Sub Title (in English)  
Keyword(1) Distributed cache  
Keyword(2) Job scheduler  
Keyword(3) Kubernetes  
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1st Author's Name Hiroki Kano  
1st Author's Affiliation Toyota Motor Corporation (TMC)
2nd Author's Name Naoya Shibayama  
2nd Author's Affiliation Toyota Motor Corporation (TMC)
3rd Author's Name Kentaro Sasaki  
3rd Author's Affiliation Toyota Motor Corporation (TMC)
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Speaker Author-1 
Date Time 2026-03-04 15:15:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2025-266 
Volume (vol) vol.125 
Number (no) no.385 
Page pp.268-273 
#Pages 6 
Date of Issue 2026-02-25 (NS) 

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