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CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance

Summary: Characterizes two production storage-tier I/O workloads from ByteDance’s compute–storage-separated veDB and exposes why TPC-C/YCSB fail to represent them. CDSBen learns workload patterns to synthesize accurate, flexible traces across diverse I/O characteristics. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13377
Venue
VLDB
Year
2023
Pagerank
5.2212078e-05
Overall Rank
9,768 | 32.99%
DOI
10.14778/3611540.3611549

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb23,
        title = {{CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance}},
        author = {Zhang, Jiashu and Jiang, Wen and Tang, Bo and Ma, Haoxiang and Cao, Lixun and Jiang, Zhongbin and Nie, Yuanyuan and Wang, Fan and Zhang, Lei and Liang, Yuming},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3584--3596},
        doi = {10.14778/3611540.3611549},
        url = {https://doi.org/10.14778/3611540.3611549},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,846 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 5.3580184e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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