ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning

Authors

• 1. Tarique Siddiqui (Microsoft)
• 2. Saehan Jo (Cornell University)
• 3. Wentao Wu (Microsoft)
• 4. Chi Wang (Microsoft)
• 5. Vivek Narasayya (Microsoft)
• 6. Surajit Chaudhuri (Microsoft)

@inproceedings{siddiqui_sigmod22,
        title = {{ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning}},
        author = {Siddiqui, Tarique and Jo, Saehan and Wu, Wentao and Wang, Chi and Narasayya, Vivek and Chaudhuri, Surajit},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526152},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526152},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Semantically Similar Papers