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Towards instance-optimized data systems

Summary: ML-driven, instance-optimized data systems that self-tune to workload and data distribution. Progress report from MIT-DSAIL on ML for Systems, assessing readiness and deployment, with focus on optimization, indexing, storage layouts, scheduling, sorting, compression, and sketches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12533
Venue
VLDB
Year
2021
Pagerank
5.1227886e-05
Overall Rank
6,297 | 56.20%
DOI
10.14778/3476311.3476392

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

Rank Cited Paper Year Venue Pagerank
6,724 A Critical Analysis of Recursive Model Indexes 2022 VLDB 4.9484506e-05
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