Scalable stream join processing with expensive predicates: workload distribution and adaptation by time-slicing

@inproceedings{Wang2009ScalableSJ,
  title={Scalable stream join processing with expensive predicates: workload distribution and adaptation by time-slicing},
  author={Song Wang and Elke A. Rundensteiner},
  booktitle={EDBT},
  year={2009}
}
Multi-way stream joins with expensive join predicates lead to great challenge for real-time (or close to real-time) stream processing. Given the memory- and CPU-intensive nature of such stream join queries, scalable processing on a cluster must be employed. This paper proposes a novel scheme for distributed processing of generic multi-way joins with window constraints, called Pipelined State Partitioning (PSP). We target generic joins with arbitrarily join conditions, which are used in non… CONTINUE READING
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