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epiC: an Extensible and Scalable System for Processing Big Data

Summary: epiC decouples an Actor-like concurrent execution model from data-processing semantics, targeting Hadoop’s weakness on heterogeneous data. Extensible MapReduce and relational layers support structured, semi-structured, and graph data while retaining automatic parallelization, communication, and fault tolerance. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11120
Venue
VLDB
Year
2014
Pagerank
8.7060612e-05
Overall Rank
2,354 | 83.86%
DOI
10.14778/2732286.2732293

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jiang_vldb14,
        title = {{epiC: an Extensible and Scalable System for Processing Big Data}},
        author = {Jiang, Dawei and Chen, Gang and Ooi, Beng Chin and Tan, Kian-Lee and Wu, Sai},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {7},
        pages = {541--552},
        doi = {10.14778/2732286.2732293},
        url = {https://doi.org/10.14778/2732286.2732293},
        year = {2014}
}

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