DEBS is rapidly becoming the premier forum for research and new developments in the area of event-based systems and event processing. In this year's edition of DEBS we put particular emphasis on broadening the scope of the conference and bringing together researchers and practitioners from the various communities interested in event processing. Event processing is an area in which the line between academic research and challenging developments in industry is blurred. This fact is also reflected in this year's technical program in which research and industrial contributions are mixed and the papers are grouped by topic. The technical program includes sessions on modeling event based systems, detecting and reasoning about complex events, content-based pub/sub event distribution, event processing middleware, filtering and synchronization, availability and reliability of event based systems, event processing in sensor networks and runtime environments, complex event processing and streaming queries. >For the technical conference program we selected a total of 20 research and 4 industrial papers from over 80 submissions for an acceptance rate of roughly 30%. Each paper received four reviews from highly qualified reviewers who are all active members of the event processing community. We think this program represents a good cross section of research and development in event based systems. >The program is complemented by an excellent array of keynotes, a panel on security in event based systems, a fast abstract session, software demonstrations, and, for the first time, a one-day tutorial program. Software demonstrations are presented at the conference in poster form and as a live demonstration of a software system. Eight demo papers have been accepted in a combination of submitted and invited demonstrations. They are represented in the proceedings as short papers describing the software as well as the demo. The one-day tutorial program hosts internationally recognized speakers talking about current research topics relevant both for industry and academic research in the area of event-based systems.
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