Automated benchmarking with self customization

Abstract

The method enables realtime establishment and maintenance of a standard of operation for a data communications network. The process begins by monitoring the network over some period of time to build benchmark data sets. The benchmark data sets contain a standard of operation for the network, which is historically categorized by either traffic type or activity. This standard of operation is accumulated by the intelligent monitoring facilities. After a period of accumulation, the benchmark is used to determine whether data taken from current monitoring activity indicates normal network behavior. Network monitoring information is analyzed using criteria in modules that have an interface to an expert system. The criteria modules evaluate the current monitored data against the prior benchmark collected data. The criteria module determines if the current network operating characteristics are outside the bounds of normal behavior. If they are, then alerts and logs of information can be sent to the expert system. The expert system can perform network control routing changes, or close down applications, or allocate additional bandwidth as required. In addition, the expert system can modify the characterization of the currently monitored data for historical purposes by supplying information to the benchmark manager regarding traffic types, activity, heuristic accuracy and changes between current and past behavior. In this manner, auto benchmarking can be accomplished with self customization, in an improved manner.