RACE: Real-time Applications over Cloud-Edge
Summary: RACE enables real-time apps over Cloud-Edge by partitioning queries across edge devices and the cloud. It uses LINQ for StreamInsight to express workloads and a cost-based optimizer that minimizes cross-site communication for multi-level, asymmetric joins. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Badrish Chandramouli (Microsoft)
- 2. Joris Claessens (Microsoft)
- 3. Suman Nath (Microsoft)
- 4. Ivo Santos (Microsoft)
- 5. Wenchao Zhou (University of Pennsylvania)
BibTeX Citation
@inproceedings{chandramouli_sigmod12,
title = {{RACE: Real-time Applications over Cloud-Edge}},
author = {Chandramouli, Badrish and Claessens, Joris and Nath, Suman and Santos, Ivo and Zhou, Wenchao},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213916},
url = {https://dl.acm.org/doi/10.1145/2213836.2213916},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,714 | Supporting Distributed Feed-Following Apps over Edge Devices | 2013 | VLDB | 5.2338396e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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