<p>Event monitoring has been employed in many applications such as network monitoring, active databases etc.; however, there is only an insignificant amount work done on parameterized event monitoring, a feature that is necessary in any real application. The aim of this work is to investigate solutions for parameterized event composition that is scalable and efficient; these solutions are refined from existing event monitoring algorithms. An algorithm for parameterized event composition is proposed and analysis on algorithmic time complexity is performed. In addition to this, experiments on the prototype Solicitor, a software component in DeeDS, along with simulated input of events are conducted in order to validate the theoretical model and the hypothesis that were made. The experiments support the theoretical model and suggest that it is possible to build an efficient and scalable parameterized event composition that is useful in real applications.</p>

Event monitoring has been employed in many applications such as network monitoring, active databases etc.; however, there is only an insignificant amount work done on parameterized event monitoring, a feature that is necessary in any real application. The aim of this work is to investigate solutions for parameterized event composition that is scalable and efficient; these solutions are refined from existing event monitoring algorithms. An algorithm for parameterized event composition is proposed and analysis on algorithmic time complexity is performed. In addition to this, experiments on the prototype Solicitor, a software component in DeeDS, along with simulated input of events are conducted in order to validate the theoretical model and the hypothesis that were made. The experiments support the theoretical model and suggest that it is possible to build an efficient and scalable parameterized event composition that is useful in real applications.