Future Generation Computer Systems - Special issue on metacomputing
GridRM: A Resource Monitoring Architecture for the Grid
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Experiences with predicting resource performance on-line in computational grid settings
ACM SIGMETRICS Performance Evaluation Review
A Performance Study of Monitoring and Information Services for Distributed Systems
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Performance information services for computational Grids
Grid resource management
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
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In dynamic and autonomic grid environment, monitoring of heterogeneous resources is critical for many grid functionalities, such as performance analysis and tuning, job scheduling, fault detection and diagnosis. Although, there is much literature on grid monitoring research, the inter-operations between different monitoring systems have been always neglected. Besides, many monitoring systems introduced too much intrusive overhead. GridEye is a novel service-oriented monitoring system with a flexible and scalable service-oriented architecture. An open and extendable information schema is adopted to standardise data contents; Web Service interfaces are employed to provide inter-operative ability for different grid systems. As a feature, a time-sequence-based forecasting algorithm is provided for precise performance prediction. Experiments showed that the performance is comparable with other famous monitoring systems. We also proved that GridEye introduces little overhead and achieves accurate forecasting.