Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis

Ehan Sohn, Changjong Kim, Alex Sim, Dong Kyu Sung, Yongseok Son, Jisung Park, Sunggon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work proposes a modeling and prediction scheme for large-scale systems and applications through temporal analysis of system logs. The proposed scheme captures temporal correlation among concurrently running applications and models the recurring execution patterns of applications with similar characteristics. We aim to accurately model the performance (i.e., runtime and I/O throughput) of diverse applications running in large-scale systems.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1304-1306
Number of pages3
ISBN (Electronic)9798331526436
DOIs
StatePublished - 2025
Event2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025 - Milan, Italy
Duration: 3 Jun 20257 Jun 2025

Publication series

NameProceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025

Conference

Conference2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025
Country/TerritoryItaly
CityMilan
Period3/06/257/06/25

Keywords

  • Distributed Storage
  • High-performance Computing
  • Performance Modeling

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