Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/4BB89190-C510-4CEB-9B85-A9747CEC51B4 | ||
| Year | 2016 | ||
| Type of Item | Master Thesis | ||
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| Bibliographic Citation | Alexandros Mavrommatis, "A streaming implementation of the event calculus", Master Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2016 https://doi.org/10.26233/heallink.tuc.64785 | ||
| Appears in Collections |
Events provide the fundamental abstraction for representing time-evolving information that may affect situations under certain circumstances. The research domain of Complex Event Recognition focuses on tracking and analysing streams of events, in order to detect event patterns of special significance. The event streams may originate from various sources, such as sensors, video tracking systems, computer networks, etc. Furthermore, the event stream velocity and volume pose significant challenges to event processing systems. We propose dRTEC, an event recognition system that employs the Event Calculus formalism and operates in multiple computer cores for scalable distributed event recognition. We evaluate dRTEC experimentally using two real world applications and we show that it is capable of real-time and efficient event recognition.
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