E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies

Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta

Abstract: Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts of sequential multi-dimensional data available in real-time data feeds. Traditional online analytical processing (OLAP) systems are not designed for real-time pattern-based operations, while Complex Event Processing (CEP) systems are designed for sequence detection and do not support OLAP operations. We will demonstrate a novel E-Cube model that combines CEP and OLAP techniques for multi-dimensional event pattern analysis at different abstraction levels. A London transit scenario will be given to demonstrate the utility and performance of this proposed technology.