Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems

Existing what-if analysis systems are predominantly tailored to operate on either only the application layer or only the database layer of software. This isolated approach limits their effectiveness in scenarios where intensive interaction between applications and database systems occurs. To address this gap, we introduce Ultraverse, a what-if analysis framework that seamlessly integrates both application and database layers. Ultraverse employs dynamic symbolic execution to effectively translate application code into compact SQL procedure representations, thereby synchronizing application semantics at both SQL and application levels during what-if replays. A novel aspect of Ultraverse is its use of advanced query dependency analysis, which serves two key purposes: (1) it eliminates the need to replay irrelevant transactions that do not influence the outcome, and (2) it facilitates parallel replay of mutually independent transactions, significantly enhancing the analysis efficiency. Ultraverse is applicable to existing unmodified database systems and legacy application codes. Our extensive evaluations of the framework have demonstrated remarkable improvements in what-if analysis speed, achieving performance gains ranging from 7.7x to 291x across diverse benchmarks.

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Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2025-02-10
DOI
https://doi.org/10.1145/3709734
Citations
1
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.17
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article

Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems

Zhiqiang Lin, Ronny Ko, Makoto Onizuka, Chuan Xiao et al.
1 citations
Proceedings of the ACM on Management of Data
Scientific Computing and Data Management
4.17
article

Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems

Zhiqiang Lin, Ronny Ko, Makoto Onizuka, Chuan Xiao, Y. Huang
article en
1 citations

Abstract

Existing what-if analysis systems are predominantly tailored to operate on either only the application layer or only the database layer of software. This isolated approach limits their effectiveness in scenarios where intensive interaction between applications and database systems occurs. To address this gap, we introduce Ultraverse, a what-if analysis framework that seamlessly integrates both application and database layers. Ultraverse employs dynamic symbolic execution to effectively translate application code into compact SQL procedure representations, thereby synchronizing application semantics at both SQL and application levels during what-if replays. A novel aspect of Ultraverse is its use of advanced query dependency analysis, which serves two key purposes: (1) it eliminates the need to replay irrelevant transactions that do not influence the outcome, and (2) it facilitates parallel replay of mutually independent transactions, significantly enhancing the analysis efficiency. Ultraverse is applicable to existing unmodified database systems and legacy application codes. Our extensive evaluations of the framework have demonstrated remarkable improvements in what-if analysis speed, achieving performance gains ranging from 7.7x to 291x across diverse benchmarks.

Proceedings of the ACM on Management of DataVol. 3(1)
Sensor Electronics (United States) (US), The Ohio State University (US), Nagoya University (JP), The University of Osaka (JP)
Openalex Percentile: Top 8%
Scientific Computing and Data Management
4.17
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