Abstract: A technique is disclosed that enables the run-time behavior of a data-processing system to be analyzed and, in many cases, to be predicted. In particular, the illustrative embodiment of the present invention comprises i) transforming the messages that constitute an unstructured log into a numerical series and ii) applying a time-series analysis on the resultant series for the purpose of pattern detection. Indeed, it is recognized in the illustrative embodiment that the problem really is to detect patterns that depict aspects of system behavior, regardless of the textual content of the individual log messages. In other words, by analyzing the totality of the messages in the log or logs—as opposed to looking for pre-defined patterns of the individual messages—system behavior can be mapped and understood. The mapping helps in characterizing the system for the purposes of predicting failure, determining the time required to reach stability during failure recovery, and so forth.

Abstract: A sub-network system includes line modules configured to receive bridged traffic signals over individual corresponding channels. The line modules are grouped into sets at a lower protection layer and an upper protection layer. The line modules are activated/deactivated based on different upper and lower protection schemes associated with the upper and lower protection layers. The sub-network also includes state maps associated with each of the line modules. The state maps store state data that activates and deactivates the line modules. The state maps are updated in accordance with the upper protection scheme to perform inter-leg switching between a first line module and a second line module. A network control module interconnected with the line modules performs inter-leg switching by updating the state data in the state maps for corresponding line modules in associated working and protection legs.

Abstract: A technique is disclosed that enables the run-time behavior of a data-processing system to be analyzed and, in many cases, to be predicted. In particular, the illustrative embodiment of the present invention comprises i) transforming the messages that constitute an unstructured log into a numerical series and ii) applying a time-series analysis on the resultant series for the purpose of pattern detection. Indeed, it is recognized in the illustrative embodiment that the problem really is to detect patterns that depict aspects of system behavior, regardless of the textual content of the individual log messages. In other words, by analyzing the totality of the messages in the log or logs—as opposed to looking for pre-defined patterns of the individual messages—system behavior can be mapped and understood. The mapping helps in characterizing the system for the purposes of predicting failure, determining the time required to reach stability during failure recovery, and so forth.

Abstract: A subnetwork connection system is provided that includes line modules configures to receive traffic signals over bridged, individual corresponding channels. The line modules are grouped into sets at a lower protection layer, while the sets of line modules are organized into working legs and protection legs at an upper protection layer. The line modules are activated and deactivated based on different upper and lower protection schemes associated with the upper and lower protection layers. The subconnection system further includes state maps associated with each of the line modules. The state maps store state data that activates and deactivates the line modules. The state maps are updates in accordance with the lower protection scheme to permit intra-leg switching between the line modules in one of the working and protection legs.