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 real-time 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 teal-tune Grid monitoring is possible without excessive intrusiveness for resources and network