No single network management methodology is likely to satisfy the diverse needs of today's networks in order to maintain a desirable level of quality of service-based performance. In this paper, we present ongoing work where we are developing a framework that can provide distributed, adaptive, and automated network management for today's complex networks. Our model is based on the use of intelligent agents where data are correlated and analyzed through the use of semantic and statistical models, and control decisions are made at both local and global levels from a quality of service perspectiv...
