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Performance evaluation of rate-based join window sizing for asynchronous data streams
Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004.
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Our work is motivated by the large number of data stream sources that define mesoscale meteorology where asynchronous streams are commonplace. Techniques for performing filtering, aggregation, and transformation on multiple streams must be effective for the case of asynchronous streams. Rate Sizing algorithm (RS-Algo) links the number of events waiting to participate in a join to the rate of the streams responsible for their delivery. In this poster, we show the results of performance
doi:10.1109/hpdc.2004.1323555
fatcat:255wcirzajbuhmyo7y7mjb6s6m