Data mining: concepts and techniques
Data mining: concepts and techniques
The Autopilot performance-directed adaptive control system
Future Generation Computer Systems - I. High Performance Numerical Methods and Applications. II. Performance Data Mining: Automated Diagnosis, Adaption, and Optimization
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
The Research of Software Automation on Monitoring System
ISCID '10 Proceedings of the 2010 International Symposium on Computational Intelligence and Design - Volume 01
A toolkit for storage qos provisioning for data-intensive applications
Building a National Distributed e-Infrastructure - PL-Grid
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This paper is focused on monitoring automation of distributed systems. In the presented research, AI-based approaches to distributed monitoring related to large distributed systems such as grids, were explored. In both presented concepts knowledge is used to make decisions regarding management actions, using rules and fuzzy logic. The first concept is an agent-less rule-based solution, implemented in a high-level monitoring system called Saude-Net. It allows to define actions for monitored resources, using a kind of expert system. The second solution, which exploits agents and fuzzy logic, is realized in a system called SAMM Compliant Agent. Both presented systems are capable of reacting to observed failures and of modifying their knowledge to better fit possible problems with resources. We also present a short comparison of the two concepts, and an analysis of their usage.