Clipper: A Low-Latency Online Prediction Serving System

@inproceedings{Crankshaw2017ClipperAL,
  title={Clipper: A Low-Latency Online Prediction Serving System},
  author={Daniel Crankshaw and Xin Wang and Giulio Zhou and Michael J. Franklin and Joseph Gonzalez and Ion Stoica},
  booktitle={NSDI},
  year={2017}
}
Machine learning is being deployed in a growing number of applications which demand real-time, accurate, and robust predictions under heavy query load. However, most machine learning frameworks and systems only address model training and not deployment. In this paper, we introduce Clipper, a general-purpose low-latency prediction serving system. Interposing between end-user applications and a wide range of machine learning frameworks, Clipper introduces a modular architecture to simplify model… CONTINUE READING
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