Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2025-12-19 16:10
An Analysis of Downtime Trends and Causes in OpenAI Services
Taichi Kondo, Akihiro Nakao (The Univ. of Tokyo) NS2025-186
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, services based on large language models (LLMs), such as ChatGPT, have rapidly expanded and are now used across many industries, including business automation, finance, and engineering. However,these services still experience intermittent access disruptions, raising concerns not only about degraded user experience but also about economic losses and reduced societal productivity. As dependence on generative AI services grows, enhancing their availability requires a quantitative understanding of outage patterns and operational characteristics. This study aims to systematically analyze outage conditions and obtain fundamental insights for improving service availability. Using the official status information published by OpenAI, we first conduct chronological and structural analyses of overall service availability. Based on these findings, we then design relevant features, construct an outage prediction model, and quantitatively evaluate feature importance. Our analysis confirms five findings:
(1) a tendency for outages to concentrate during working hours; (2) simultaneous failures across multiple services;(3) an increase in outages immediately after new feature releases; (4) differences in outage frequency and recovery time across services; and (5) quantitative validation of factors contributing to availability decline using the feature importance of the prediction model.
Keyword (in Japanese) (See Japanese page) 
(in English) Large language model / Server outages / Crawling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 301, NS2025-186, pp. 190-195, Dec. 2025.
Paper # NS2025-186 
Date of Issue 2025-12-11 (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 NS2025-186

Conference Information
Committee NS RCS  
Conference Date 2025-12-18 - 2025-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukui International Activities Plaza + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To NS 
Conference Code 2025-12-NS-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Analysis of Downtime Trends and Causes in OpenAI Services 
Sub Title (in English)  
Keyword(1) Large language model  
Keyword(2) Server outages  
Keyword(3) Crawling  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Taichi Kondo  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Akihiro Nakao  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2025-12-19 16:10:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2025-186 
Volume (vol) vol.125 
Number (no) no.301 
Page pp.190-195 
#Pages 6 
Date of Issue 2025-12-11 (NS) 

[Return to Top Page]

[Return to IEICE Web Page]

(Line Height for English Pages: 1)
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan