2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Mo Liu , Worcester Polytechnic Institute, USA
Elke Rundensteiner , Worcester Polytechnic Institute, USA
Kara Greenfield , Worcester Polytechnic Institute, USA
Chetan Gupta , Hewlett-Packard Labs, USA
Song Wang , Hewlett-Packard Labs, USA
Ismail Ari , Ozyegin University, Turkey
Abhay Mehta , Hewlett-Packard Labs, USA
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.
A. Mehta et al., "E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies," 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)(ICDE), Long Beach, CA, USA, 2010, pp. 1097-1100.