FCCE: Highly scalable distributed Feature Collection and Correlation Engine for low latency big data analytics

@article{Schales2015FCCEHS,
  title={FCCE: Highly scalable distributed Feature Collection and Correlation Engine for low latency big data analytics},
  author={Douglas Lee Schales and Xin Hu and Jiyong Jang and Reiner Sailer and Marc Ph. Stoecklin and Ting Wang},
  journal={2015 IEEE 31st International Conference on Data Engineering},
  year={2015},
  pages={1316-1327}
}
In this paper, we present the design, architecture, and implementation of a novel analysis engine, called Feature Collection and Correlation Engine (FCCE), that finds correlations across a diverse set of data types spanning over large time windows with very small latency and with minimal access to raw data. FCCE scales well to collecting, extracting, and querying features from geographically distributed large data sets. FCCE has been deployed in a large production network with over 450,000… CONTINUE READING

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