Complex event processing (CEP) deals with detecting real-time situations, represented as event patterns, from among an event cloud. The state-of-the-art CEP systems process events as plain data tuples and are limited to detect precisely defined patterns. Emerging application areas like optimization in smart power grids require CEP to incorporate semantic knowledge of the domain for easier pattern specification, and detect inexact patterns in the presence of uncertainties. In this paper, we present motivating use cases, discuss limitations of existing CEP systems and describe our work towards an Inexact Semantic Complex Event Processing (InSCEP) framework.
[1]
Yogesh L. Simmhan,et al.
An Informatics Approach to Demand Response Optimization in Smart Grids
,
2011
.
[2]
N. Immerman,et al.
SASE + : An Agile Language for Kleene Closure over Event Streams
,
2007
.
[3]
Johannes Gehrke,et al.
Cayuga: A General Purpose Event Monitoring System
,
2007,
CIDR.
[4]
Jean Bacon,et al.
Reliable complex event detection for pervasive computing
,
2010,
DEBS '10.
[5]
Asaf Adi,et al.
Complex Event Processing for Financial Services
,
2006,
2006 IEEE Services Computing Workshops.