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Self-Managing Sensor-Based Middleware for Performance Monitoring and Data Integration in Grids
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.39919th IEEE International Parallel and ...
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Hong-Linh Truong, University of Vienna
Thomas Fahringer, University of Innsbruck
This paper describes a sensor-based middleware for performance monitoring and data integration in the Grid that is capable of self-management. The middleware unifies both system and application monitoring in a single system, storing various types of monitoring and performance data in decentralized storages, and providing a uniform interface to access that data. We have developed event-driven and demand-driven sensors to support rule-based monitoring and data integration. Grid service-based operations and TCP-based data delivery are exploited to balance tradeoffs between interoperability, flexibility and performance. Peer-to-peer features have been integrated into the middleware, enabling self-managing capabilities, supporting group-based and automatic data discovery, data query and subscription of performance and monitoring data.
Citation:
Hong-Linh Truong, Thomas Fahringer, "Self-Managing Sensor-Based Middleware for Performance Monitoring and Data Integration in Grids," ipdps, vol. 1, pp.13b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005
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