An error messages clustering-based fault diagnosis framework in home networks

This paper proposes an efficient fault detection and analysis framework based on clustering error messages. Most home network middleware provide simple rule-based fault processing mechanisms optimized only to handle error messages individually. The proposed architecture focuses on detecting and analyzing error messages generated by identical faults as collectively as possible. For this, three relation graphs are used to decide the fault range and to find error messages. Message filters are also used to omit analyzing the found messages.