Event-Based Programming: Taking Events to the Limit
Event-Based Programming: Taking Events to the Limit
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
New grid scheduling and rescheduling methods in the GrADS project
International Journal of Parallel Programming - Special issue: The next generation software program
User-level grid monitoring with Inca 2
Proceedings of the 2007 workshop on Grid monitoring
From Monitoring Data to Experiment Information - Monitoring of Grid Scientific Workflows
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
An Event-Based Approach to Reducing Coupling in Large-Scale Applications
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
GridICE: a monitoring service for Grid systems
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Real-time Grid monitoring based on complex event processing
Future Generation Computer Systems
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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.