The document discusses information flow processing and different related models. It describes how information flow processing engines can process live data streams in real-time without persistent storage. It also summarizes two main competing models - Data Stream Management Systems (DSMS) which are an evolution of database management systems, and Complex Event Processing (CEP) which focuses on detecting complex patterns in event streams. Finally, it outlines several ways of modeling information flow processing including functional, processing, time, data, rule, language, and deployment models.
The document discusses information flow processing and different related models. It describes how information flow processing engines can process live data streams in real-time without persistent storage. It also summarizes two main competing models - Data Stream Management Systems (DSMS) which are an evolution of database management systems, and Complex Event Processing (CEP) which focuses on detecting complex patterns in event streams. Finally, it outlines several ways of modeling information flow processing including functional, processing, time, data, rule, language, and deployment models.