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Indexing Multi-dimensional Data in a Cloud System

Summary: Proposes epiC and RT-CAN, a cloud-scale multi-dimensional index merging CAN routing with R-tree-like local indices for scalable, multidimensional queries. A query-conscious cost model selects local nodes to publish, enabling few-hop lookups with a lean global index. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4339
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,421 | 14.79%
DOI
10.1145/1807167.1807232

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Authors

BibTeX Citation

@inproceedings{wang_sigmod10,
        title = {{Indexing Multi-dimensional Data in a Cloud System}},
        author = {Wang, Jinbao and Wu, Sai and Gao, Hong and Li, Jianzhong and Ooi, Beng Chin},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807232},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807232},
        year = {2010}
}

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