Abstract: In one embodiment, a control processor sends unique identifiers to each traffic processor in a multi-processor system of different unique identifiers may be sent for each traffic processor supported Management Information Base (MIB). The traffic processors modify MIB object identifiers to include the unique identifiers and then transmit notifications that include the unique identifiers, MIB object identifiers, and associated traffic processor parameter values. In another embodiment, the control processor handles the task of attaching unique identifiers so each MIB object identifiers are uniquely correlated with a particular traffic processor.

Abstract: Round trip time, bottleneck link speed, and hop count information from one node to the remaining nodes within a network is collected and processed by an adaptive resonance theory (ART) neural network to classify the nodes by physical location or site group. For each site group, round trip time from one node to the remaining nodes is then collected and processed utilizing an ART neural network to classify the nodes into one or more physical groups. The resulting breakdown of site groups within the network and physical groups within the site groups forms a model which may be employed by networking and system management applications. No private or proprietary vendor specific information from communications devices within the network need be employed to develop the model, only publicly available information regarding communications parameters.

Abstract: A search string for searching data distributed among various hosts employing different character encoding schemes or having different case-mapping capabilities is entered in a multi-field text string class. The multi-field text string class includes methods for transliterating characters within the original search string based on defined character equivalence tables. When the search string is received at a data host, a comparison is made of the operating system run on the originating data processing system, identified in a sourceVariant field of the multi-field text string class, and the operating system run on the data host, identified in a targetVariant field of the multi-field text string class. If necessary, an appropriate character equivalence table is selected and a variant of the search string is generated by transliteration.