E-Cube: Multi-Dimensional Event Sequence Analysis Using Hierarchical Pattern Query Sharing
Summary: Proposes E-Cube, a multi-dimensional event-pattern model that fuses CEP and OLAP for real-time pattern analysis over streams. Leverages hierarchical query sharing with drill-down/roll-up and the cost-driven optimizer Chase to reuse intermediates, delivering up to tenfold speedups on stock-market workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mo Liu (Worcester Polytechnic Institute)
- 2. Elke A. Rundensteiner (Worcester Polytechnic Institute)
- 3. Kara Greenfield (Worcester Polytechnic Institute)
- 4. Chetan Gupta (Hewlett Packard Enterprise)
- 5. Song Wang (Hewlett Packard Enterprise)
- 6. Ismail Ari (Ozyegin University)
- 7. Abhay Mehta (Hewlett Packard Enterprise)
BibTeX Citation
@inproceedings{liu_sigmod11,
title = {{E-Cube: Multi-Dimensional Event Sequence Analysis Using Hierarchical Pattern Query Sharing}},
author = {Liu, Mo and Rundensteiner, Elke A. and Greenfield, Kara and Gupta, Chetan and Wang, Song and Ari, Ismail and Mehta, Abhay},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989416},
url = {https://dl.acm.org/doi/10.1145/1989323.1989416},
year = {2011}
}
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