TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms
Summary: Teq is an open, developer-friendly testbed for edge-based query processing in decentralized, fast-data streams. It supports modular Docker-based algorithms, data/query playback for reproducible evaluation, and mapping runtime metrics to global signals. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yu Lei (Zhejiang University)
- 2. Christian S. Jensen (Aalborg University)
- 3. Xinle Jiang (Southern University of Science and Technology)
- 4. Hua Lu (Aalborg University)
- 5. Bo Tang (Southern University of Science and Technology)
- 6. Huan Li (Zhejiang University)
BibTeX Citation
@inproceedings{lei_sigmod25,
title = {{TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms}},
author = {Lei, Yu and Jensen, Christian S. and Jiang, Xinle and Lu, Hua and Tang, Bo and Li, Huan},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725138},
url = {https://dl.acm.org/doi/10.1145/3722212.3725138},
year = {2025}
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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 |
|---|---|---|---|---|
| 5,559 | Consensus in Data Management: With Use Cases in Edge-Cloud and Blockchain Systems | 2024 | VLDB | 6.1741042e-05 |
| 11,569 | Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments | 2022 | VLDB | 5.093636e-05 |
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