Workshop on Enabling Real-Time for Business Intelligence

August 24, 2009 - Lyon, France


Keynote Speech 1

Complex Event Processing in the Real-Time Enterprise


The real-time enterprise is event-driven. (Complex) event processing provides the ability to detect events, aggregate and compose them to derive more abstract events and enable the enterprise to react in real time. At the application level event processing supports integrated logistics processes, supply chain management, adaptive production scheduling, fraud detection, real-time risk analysis, and information dashboards that filter, combine and visualize event streams from heterogeneous sources, to name just a few examples. In this talk we survey different application domains of real-time enterprises, analyze the features of the middleware needed for the processing of event streams in the real-time enterprise and identify interesting research problems.


About the speaker

Pic of Alex Alejandro Buchmann is Professor in the Department of Computer Science, Technische Universität Darmstadt, where he heads the Databases and Distributed Systems Group. He received his MS (1977) and PhD (1980) from the University of Texas at Austin. He was an Assistant/Associate Professor at the Institute for Applied Mathematics and Systems IIMAS/UNAM in Mexico, doing research on databases for CAD, geographic information systems, and object-oriented databases. At Computer Corporation of America (later Xerox Advanced Information Systems) in Cambridge, Mass., he worked in the areas of active databases and real-time databases, and at GTE Laboratories, Waltham, in the areas of distributed object systems and the integration of heterogeneous legacy systems. 1991 he returned to academia and joined T.U. Darmstadt. His current research interests are at the intersection of middleware, databases, event-based distributed systems, ubiquitous computing, and very large distributed systems (P2P, WSN). Much of the current research is concerned with guaranteeing quality of service and reliability properties in these systems, for example, scalability, performance, transactional behaviour, consistency, and end-to-end security. Many research projects imply collaboration with industry and cover a broad spectrum of application domains. Further information can be found at http://www.dvs.tu-darmstadt.de/