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)
Incoming Non-self Citations Over Time
Authors
- 1. Dawei Jiang (National University of Singapore)
- 2. Gang Chen (Zhejiang University)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Kian-Lee Tan (National University of Singapore)
- 5. Sai Wu (Zhejiang University)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD |
| 2 | 4,595 | The "Big Data" Ecosystem at LinkedIn | 2013 | SIGMOD |
| 3 | 11,885 | Integration of Large-Scale Data Processing Systems and Traditional Parallel Database Technology | 2019 | VLDB |
| 4 | 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB |
| 5 | 1,054 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB |
| 6 | 13,557 | Big Data Science Needs Big Data Middleware | 2015 | CIDR |
| 7 | 5,608 | Big Graphs: Challenges and Opportunities | 2022 | VLDB |
| 8 | 1,436 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB |
| 9 | 9,510 | Efficient Big Data Processing in Hadoop MapReduce | 2012 | VLDB |
| 10 | 2,265 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD |