Towards anticipate detection of complex event processing rules with probabilistic modelling
Fernando Terroso-Sáenz, Aurora González-Vidal, Antonio Skármeta · International Journal of Design & Nature and Ecodynamics · 2016
Nowadays, Big Data implies not only the need of processing high volume of data, but also do it in a timely manner.In this scope, the Complex Event Processing (CEP) paradigm has arisen as a prominent real-time rule-based solution.Due to its reactive nature, a CEP system might suffer from slight delays in the activation of its rules that could not be desirable in certain environments.As a result, the present work introduces a novel mechanism that intends to anticipate the activation of event-based rules and, thus, come up with even faster CEP systems.This is achieved by means of a probabilistic modelling of each rule's precondition.Finally, the proposal includes a preliminary evaluation so as to show its suitability.