OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data
Summary: OceanST: distributed analytic system for large-scale spatiotemporal mobile broadband data. Tailored for MBB, it offers efficient ingestion, spatiotemporal aggregates, analytics APIs and sampling-based approximate queries with provable accuracy on clusters. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mingxuan Yuan (Huawei)
- 2. Ke Deng (Huawei)
- 3. Jia Zeng (Huawei; Soochow University)
- 4. Yanhua Li (Huawei)
- 5. Bing Ni (Huawei)
- 6. Xiuqiang He (Huawei)
- 7. Fei Wang (Huawei)
- 8. Wenyuan Dai (Huawei)
- 9. Qiang Yang (Huawei)
BibTeX Citation
@article{yuan_vldb14,
title = {{OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data}},
author = {Yuan, Mingxuan and Deng, Ke and Zeng, Jia and Li, Yanhua and Ni, Bing and He, Xiuqiang and Wang, Fei and Dai, Wenyuan and Yang, Qiang},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1561--1564},
doi = {10.14778/2733004.2733030},
url = {https://doi.org/10.14778/2733004.2733030},
year = {2014}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,067 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012327784 |
| 2,794 | A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data | 2013 | VLDB | 8.1167671e-05 |
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