Mining Alarm Database of Telecommunication Network for Alarm Association Rules
PRDC '05 Proceedings of the 11th Pacific Rim International Symposium on Dependable Computing
IEEE/ACM Transactions on Networking (TON)
Low-cost data communication network for rural telecom network management
International Journal of Network Management
IEEE Transactions on Network and Service Management
Exploiting agent mobility for large-scale network monitoring
IEEE Network: The Magazine of Global Internetworking
The semantics of alarm definitions: enabling systematic reasoning about alarms
International Journal of Network Management
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Events in a failing system can be generated so rapidly that they adversely impact the network as well as the network management system (NMS) manager. They may fail to get delivered and critical information may get lost. This problem becomes worse in a large and congested network. Today, in practice, a management station is often flooded with a huge number of redundant events, making it diffi cult for the operator to process them and take corrective actions. Methods are needed to limit the volume of event transmission and number of events presented to the operator, while ensuring delivery of important information to the NMS manager. These methods need to take care of the operators' changing needs in monitoring abstraction level, for various network elements (NE) based on time and NE severity state. In this paper we propose novel techniques for distributed control of events flood, by suppressing transient events at the source. These techniques do not add any delay in communicating a failure, while ensuring that only the important events are presented to the operator. Also, the correctness of event state at the NMS is not compromised. Moreover, these methods give flexibility to the operator to dynamically change the abstraction level needed from a network element, and limit the number of events presented to the operator. The implementation of these techniques is tested with real fi eld event traces from various telecom networks. Results show that there is a substantial reduction in the event traffic in the network.