Low-Latency Sliding-Window Aggregation in Worst-Case Constant Time

@inproceedings{Tangwongsan2017LowLatencySA,
  title={Low-Latency Sliding-Window Aggregation in Worst-Case Constant Time},
  author={Kanat Tangwongsan and Martin Hirzel and Scott Schneider},
  booktitle={DEBS},
  year={2017}
}
Sliding-window aggregation is a widely-used approach for extracting insights from the most recent portion of a data stream. The aggregations of interest can usually be cast as binary operators that are associative, but they are not necessarily commutative nor invertible. Non-invertible operators, however, are difficult to support efficiently. The best published algorithms require O(log n) aggregation steps per window operation, where n is the sliding-window size at that point. For a FIFO window… CONTINUE READING

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