Scalable Time Series Compound Infrastructure
Summary: Time Series Compound objects (TSC) with similarity semantics and compact, misalignment-resistant representations for interrelated series. Sloth, a TSC-aware index/storage, yields up to 10x faster TB-scale queries and ~70% higher mAP for approximate kNN. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Noura S. Alghamdi (Worcester Polytechnic Institute)
- 2. Liang Zhang (Worcester Polytechnic Institute)
- 3. Elke A. Rundensteiner (Worcester Polytechnic Institute)
- 4. Mohamed Y. Eltabakh (Worcester Polytechnic Institute)
BibTeX Citation
@inproceedings{alghamdi_sigmod22,
title = {{Scalable Time Series Compound Infrastructure}},
author = {Alghamdi, Noura S. and Zhang, Liang and Rundensteiner, Elke A. and Eltabakh, Mohamed Y.},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517888},
url = {https://dl.acm.org/doi/10.1145/3514221.3517888},
year = {2022}
}
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