Patent attributes
Usually agents probe other agents across the network to determine the network health. If network data from noisy agents (i.e., agents themselves causing the high latency) is used, it degrades the overall probe statistics. Thus, agents can be identified as noisy and then data from such noisy agents can be excluded from further consideration, thereby improving the quality of the active monitoring dataset. An algorithm executing on a centralized server computer uses a sample of active monitoring probe data. A first part of the algorithm involves determining the expected latency for a probe. The second part of the algorithm uses the information about the expected latency for a probe to compute a fraction of an agent's probes that have anomalous latencies using the original (full) data set. Agents with large fractions of anomalous probes receive high noise scores in the algorithm and are filtered.
