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Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB

Summary: Comparative study of time-series encoding schemes in Apache IoTDB, showing how scale, delta, repeat, and increase influence compression efficiency. A benchmark with a data generator and real-world datasets enables IoTDB-centric, data-feature-aware evaluation and practical encoding guidance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12711
Venue
VLDB
Year
2022
Pagerank
5.7188461e-05
Overall Rank
5,071 | 64.73%
DOI
10.14778/3547305.3547319

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