Leveraging complex event processing for grid monitoring

Currently existing monitoring services for Grid infrastructures typically collect information from local agents and store it as data sets in global repositories. However, for some scenarios querying realtime streams of monitoring information would be extremely useful. In this paper, we evaluate Complex Event Processing technologies applied to real-time Grid monitoring. We present a monitoring system which uses CEP technologies to expose monitoring information as queryable data streams. We study an example use case - monitoring for job rescheduling. We also employ CEP technologies for data reduction, measure the overhead of monitoring, and conclude that real-time Grid monitoring is possible without excessive intrusiveness for resources and network.