A Dynamic Group Management Framework for Large-scale Distributed Event Monitoring

Distributed event monitoring is an important service for fault, performance and security management. Next generation event monitoring services are higly distributed and invovling a large number of monitoring agents. In order to support scalabel event monitoring, the monitoring agents use IP multicasting as a group communication for exchanging events and control information. However, dueto the dynamic nature of event detection and correlation during the monitoring process, agents groups organization and coordination such as membership and tasks assignments becomes a challenging issue. Thus, supporting an appropriet group mangement infrastrcutre is a key issue for developing scalable event monitoring services. This paper presents an efficient group management framework based on IP multicast that dynamically reconfigure the group strcutures and memebership assignments at run-time according to the event correlation requirements which allows for optimal delivery of multicast messages between the management entities. This framework provides techniques for solving agents’ state synchronization, free-collision group allocation and agents bootstrap problems in distributed event monitoring. The presented framework has been implemented within HiFi monitoring system which is a distributed hierarchical monitoring system.