Multi-scale Real-Time Grid Monitoring with Job Stream Mining
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Bio-Inspired Techniques for Resources State Prediction in Large Scale Distributed Systems
International Journal of Distributed Systems and Technologies
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The successful administration of a global Data Grid system requires collecting and storing relevant monitoring information, using it to show the status and the trends of the entire system. The collected information is further used in developing the higher-level services and components of the distributed system to provide a degree of automated operational decisions, in order to maintain and optimize the work-flow through the entire system. In this paper we present the architecture of the monitoring system, developed within the MonALISA framework, for the ALICE Grid. The system uses flexible mechanisms for collecting, aggregating, storing and presenting monitoring information both in near real-time or history charts, in global or specific views, being able to generate alerts or take automated decisions based on it.