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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)

Paper ID
4629
Venue
SIGMOD
Year
2012
Pagerank
-
Overall Rank
13,660 | 6.28%
DOI
10.1145/2213836.2213916

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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)

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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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