Towards efficient event aggregation in a decentralized publish-subscribe system
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Federating location-based data services
Data Management in a Connected World
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In this paper we propose an approach for observingreal-world events through a distributed model providing dynamicdata about the state of the world. Typical examplesfor real-world events are spatial events, i.e. events that occurwhen a user enters a certain spatial relationship withother users or his environment. To the best of our knowledge,this paper is the first to propose a uniform approachfor observing real-world events that takes the issues relatedto the distribution of the model into account.The state of the world is only available with limited accuracyin both the value and time dimension, which is due tosensor inaccuracy and the properties of the distributed system.Therefore, it is not always possible to determine forcertain, if an event has occurred. We propose to calculatethe probability with which an event has occurred. The eventis considered to have occurred when the calculated probabilityis above a threshold probability specified by the user.To realize this approach, we show which system parametersinfluence the observation, how update protocols providethe data to the observer model, on which the event isactually observed, and how the probability that an event hasoccurred can be calculated based on this model.