A Scalable Distributed Network Management System
Peng Xue · Journal of Northeastern University · 2002
A hierarchical, scalable and dynamic management scheme for managing large scale distributed networks was presented. The system achieves scalability by modifying the number of middle layer managers and agents according to the size of network. The hierarchical approach can efficiently distribute the loads of the system and improve the reliability of the system. The event triggered management mechanism enables the managers to discover and solve the problem of network in time. The mechanism of event filtering and correlation decreases network load and limits event propagation. This significantly improves the scalability and performance the management system while minimizing the monitoring intrusiveness. Moreover, the system can trigger or disable management tasks automatically according to some network events. This significantly improves autonomy of the system.