Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications
Summary: LP-based, fine-grained optimization of compression, sorting, indexing, tiering, and horizontal partitioning for spatio-temporal workloads under DRAM budgets. Extends with reconfiguration costs and worst-case guarantees, showing memory-footprint reductions or performance gains over heuristics on real data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Keven Richly (Hasso Plattner Institute)
- 2. Rainer Schlosser (Hasso Plattner Institute)
- 3. Martin Boissier (Hasso Plattner Institute)
BibTeX Citation
@article{richly_vldb22,
title = {{Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications}},
author = {Richly, Keven and Schlosser, Rainer and Boissier, Martin},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {13},
pages = {4079--4092},
doi = {10.14778/3565838.3565858},
url = {https://doi.org/10.14778/3565838.3565858},
year = {2022}
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