Alarm fuzzy association rules parallel mining in multi-domain distributed communication network

Network is divided into different management domains in large-scale communication system, each management domain has its own Local Management Site. The distributed characteristics of network determine the Global Management Site with several Local Management Sites to meet a distributed architecture. This paper proposes a new algorithm called PFAARM (parallel fuzzy alarm association rules mining algorithm), which can be used for alarm fuzzy association rules parallel mining in multi-domain distributed communication network. Alarm correlation analysis can be executed in parallel both in Global Management Site and Local Management Sites. Fuzzy association rules can be achieved within inner-and inter-domain alarms. On the basis of alarm correlation analysis in single management domain, the introduction of inter-domain alarm fuzzy association rules, which are based on inter-domain communication relationship, gives another essential clue for fault location. Meanwhile, it´s of great significance for quick and efficient fault location. The simulation results illustrated its feasibility and efficiency.