Threshold Compression for 3G Scalable Monitoring
The authors study the problem of scalable monitoring of operational 3G wireless networks. Threshold-based performance monitoring in large 3G networks is very challenging for two main factors: large network scale and dynamics in both time and spatial domains. A fine-grained threshold setting (e.g., per-location hourly) incurs prohibitively high management complexity, while a single static threshold fails to capture the network dynamics, thus resulting in unacceptably poor alarm quality (up to 70% false/miss alarm rates). In this paper, they propose a scalable monitoring solution, called threshold-compression that can characterize the location- and time-specific threshold trend of each individual Network Element (NE) with minimal threshold setting.