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OceanRT: Real-Time Analytics over Large Temporal Data

Summary: OceanRT enables real-time analytics over large temporal data in the cloud (5TB/day call logs). It uses interconnected Access Query Engines (AQEs) and a temporal-local storage scheme to boost locality, delivering up to 10x–200x speedups vs Impala/Shark/Hive and ad hoc HiveQL support. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4882
Venue
SIGMOD
Year
2014
Pagerank
5.1685362e-05
Overall Rank
10,055 | 31.02%
DOI
10.1145/2588555.2594513

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod14,
        title = {{OceanRT: Real-Time Analytics over Large Temporal Data}},
        author = {Zhang, Shiming and Yang, Yin and Fan, Wei and Lan, Liang and Yuan, Mingxuan},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2594513},
        url = {https://dl.acm.org/doi/10.1145/2588555.2594513},
        year = {2014}
}

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