STAR: A Distributed Stream Warehouse System for Spatial Data
Summary: STAR is a distributed in-memory spatial data stream warehouse enabling real-time analytics over rapid spatial streams. Novelty: distributed materialized views for spatial aggregates and dynamic load adjustment for scalable, adaptive processing on EC2 with real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhida Chen (Nanyang Technological University)
- 2. Gao Cong (Nanyang Technological University)
- 3. Walid G. Aref (Purdue University)
BibTeX Citation
@inproceedings{chen_sigmod20,
title = {{STAR: A Distributed Stream Warehouse System for Spatial Data}},
author = {Chen, Zhida and Cong, Gao and Aref, Walid G.},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384699},
url = {https://dl.acm.org/doi/10.1145/3318464.3384699},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,747 | Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries | 2024 | SIGMOD | 5.5529458e-05 |
| 8,504 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 5.4132367e-05 |
| 11,196 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 5.093636e-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 |
|---|---|---|---|---|
| 2,502 | Stream Warehousing with DataDepot | 2009 | SIGMOD | 8.4972586e-05 |
| 2,732 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 8.1934602e-05 |
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