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Self-Managing Sensor-Based Middleware for Performance Monitoring and Data Integration in Grids

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2 Author(s)
Truong, H.-L. ; Inst. for Software Sci., Univ. of Vienna, Austria ; Fahringer, T.

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.

Published in:

Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International

Date of Conference:

04-08 April 2005

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