This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Synchronous dataflow (SDF) has been successfully used in design tools for system-level simulation of wireless communication systems. Modern wireless communication standards involv...
Team members usually cooperate on a business process by partitioning it into several activities, which in turn generate one or more work items. Work items either need to be proces...