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Storage Workload Estimation for Database Management Systems

Summary: Translates a database workload and physical design into a storage-workload profile for guiding configuration of shared, virtualized storage. Bridges the DBMS-storage gap, enabling end-to-end design and empirical assessment of prediction cost and accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3928
Venue
SIGMOD
Year
2007
Pagerank
7.0432571e-05
Overall Rank
3,891 | 73.31%
DOI
10.1145/1247480.1247523

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ozmen_sigmod07,
        title = {{Storage Workload Estimation for Database Management Systems}},
        author = {Ozmen, Oguzhan and Salem, Kenneth and Uysal, Mustafa and Attar, M. Hossein Sheikh},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247523},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247523},
        year = {2007}
}

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