The Next Generation Operational Data Historian for IoT Based on Informix
Summary: Operational Data Historian for IoT built on Informix blends write-optimized time-series storage with SQL analytics. IoT-X benchmark and industry case studies (Energy/Utilities, connected vehicles) show strong end-to-end write and query performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sheng Huang (IBM)
- 2. Yaoliang Chen (IBM)
- 3. Xiaoyan Chen (IBM)
- 4. Kai Liu (IBM)
- 5. Xiaomin Xu (IBM)
- 6. Chen Wang (IBM)
- 7. Kevin Brown (IBM)
- 8. Inge Halilovic (IBM)
BibTeX Citation
@inproceedings{huang_sigmod14,
title = {{The Next Generation Operational Data Historian for IoT Based on Informix}},
author = {Huang, Sheng and Chen, Yaoliang and Chen, Xiaoyan and Liu, Kai and Xu, Xiaomin and Wang, Chen and Brown, Kevin and Halilovic, Inge},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2595638},
url = {https://dl.acm.org/doi/10.1145/2588555.2595638},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,762 | Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB | 2022 | VLDB | 6.519484e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00046055057 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
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