[2408.12414] BIPeC: A Combined Change-Point Analyzer to Identify Performance Regressions in Large-scale Database Systems
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Computer Science > Databases

arXiv:2408.12414 (cs)
[Submitted on 22 Aug 2024]

Title:BIPeC: A Combined Change-Point Analyzer to Identify Performance Regressions in Large-scale Database Systems

Authors:Zhan Lyu, Thomas Bach, Yong Li, Nguyen Minh Le, Lars Hoemke
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Abstract:Performance testing in large-scale database systems like SAP HANA is a crucial yet labor-intensive task, involving extensive manual analysis of thousands of measurements, such as CPU time and elapsed time. Manual maintenance of these metrics is time-consuming and susceptible to human error, making early detection of performance regressions challenging. We address these issues by proposing an automated approach to detect performance regressions in such measurements. Our approach integrates Bayesian inference with the Pruned Exact Linear Time (PELT) algorithm, enhancing the detection of change points and performance regressions with high precision and efficiency compared to previous approaches. Our method minimizes false negatives and ensures SAP HANA's system's reliability and performance quality. The proposed solution can accelerate testing and contribute to more sustainable performance management practices in large-scale data management environments.
Subjects: Databases (cs.DB)
Cite as: arXiv:2408.12414 [cs.DB]
  (or arXiv:2408.12414v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2408.12414

Submission history

From: Zhan Lyu [view email]
[v1] Thu, 22 Aug 2024 14:07:50 UTC (409 KB)
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