Progressive and Approximate Join Algorithms on Data Streams

Wee Hyong Tok, Stéphane Bressan

Abstract: In this chapter, we discuss the design and implementation of join algorithms for data streaming systems, wherememory is often limited relative to the data that needs to be processed.We first focus on progressive join algorithms for various data models. We introduce a framework for progressive join processing, called the Result Rate based Progressive Join (RRPJ) framework which can be used for join processing for various data models, and discuss its various instantiations for processing relational, high-dimensional, spatial and XML data.