We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept...
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept ...
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
In this paper, we present an adaptive load diffusion operator to enable scalable processing of Multiway Windowed Stream Joins (MWSJs) using a cluster system. The load diffusion is...