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ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency

Summary: ForestTI proposes a scalable inverted-index-oriented timeseries management system with adjustable memory efficiency. It uses a two-level inverted index with optimistic lock coupling and a two-level pointer swizzling scheme to swap cold postings and in-memory timeseries objects, plus optimized WAL/LSM-tree data paths; open-source. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6618
Venue
SIGMOD
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,192 | 22.14%
DOI
10.1145/3589260

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