Case Studyrletime seriesiot
Engineers Build Appendable NibbleRun Compression Algorithm
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8.2
Engineers used an LLM-guided process to design an appendable compression format for temperature and humidity time-series, achieving roughly 53.6x storage reduction. The NibbleRun format combines delta and nibble-coded RLE to exploit frequent zero-deltas and supports O(1) appends and in-memory serving for thousands of devices. Benchmarks compared TSZ, PCO L4 and custom schemes, highlighting trade-offs in speed, appendability, and serialization overhead.
Scoring Rationale
Practical, well-benchmarked compression design with high applicability + limited novelty outside IoT and single-source validation depth.
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