SASE: Complex Event Processing over Streams (Demo)

RFID technology is gaining adoption on an increasin g scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be f iltered and correlated for complex pattern detection and transf ormed to events that provide meaningful, actionable informat ion to end applications. In this work, we design and develop S ASE, a com- plex event processing system that performs such dat a- information transformation over real-time streams. We design a complex event language for specifying application l ogic for such transformation, devise new query processing techniq ues to effi- ciently implement the language, and develop a comprehensive system that collects, cleans, and processes RFID da ta for deliv- ery of relevant, timely information as well as stor ing necessary data for future querying. We demonstrate an initial prototype of SASE through a real-world retail management scenario.