Abstract: A system and computer-implemented method to manage alerts, wherein the method includes receiving anomaly triggers associated with detected anomalies, associating an anomaly trigger of the received anomaly triggers with an alert, tracking the alert using a state machine, determining whether to change a state of the state machine if a subsequent anomaly trigger associated with the alert is received or if a predetermined amount of time passes without receiving trigger information, and generating an alarm based on the state of the state machine.

Abstract: A method for performing root cause analysis of failures in a computer network is provided. The method includes receiving an Adaptive Service Intelligence (ASI) data set related to one or more failures reported in the computer network from a plurality of interfaces. One or more impact events associated with the reported failures are identified based on the received ASI data set. Each of the identified impact events is correlated with one or more cause events. A situation record is selectively generated based on the correlation results.

Abstract: A system and computer-implemented method to manage alerts, wherein the method includes receiving anomaly triggers associated with detected anomalies, associating an anomaly trigger of the received anomaly triggers with an alert, tracking the alert using a state machine, determining whether to change a state of the state machine if a subsequent anomaly trigger associated with the alert is received or if a predetermined amount of time passes without receiving trigger information, and generating an alarm based on the state of the state machine.

Abstract: A method for performing root cause analysis of failures in a computer network is provided. The method includes receiving an Adaptive Service Intelligence (ASI) data set related to one or more failures reported in the computer network from a plurality of interfaces. One or more impact events associated with the reported failures are identified based on the received ASI data set. Each of the identified impact events is correlated with one or more cause events. A situation record is selectively generated based on the correlation results.

Abstract: A system and method operates to analyze a data stream, for example, a stream of download times for accessing information through a computer network. The system and method are capable of identifying abnormalities in the data stream compared to previous data in the data stream. More particularly, the system and method is capable of dynamically analyzing a data stream to detect abrupt, severe abnormalities as well subtle changes that occur over time.

Abstract: Disclosed methods and systems create channels from a stream of data records relating to electronic data processing system performance. Each data record includes the attribute value for each of a plurality of attributes related to the electronic data processing system. A channel is created for each unique value of a selected attribute or each unique combination of values for a plurality of selected values. Each channel is analyzed to determine if it meets at least one criterion. The unique value or combination of values of a channel meeting the at least one criterion is reported. The foregoing steps may be repeated using the results of previous steps. At least once, a channel is created for each unique combination of attribute values for a plurality of selected attributes.

Abstract: A system and method operates to analyze a data stream, for example, a stream of download times for accessing information through a computer network. The system and method are capable of identifying abnormalities in the data stream compared to previous data in the data stream. More particularly, the system and method is capable of dynamically analyzing a data stream to detect abrupt, severe abnormalities as well subtle changes that occur over time.

Abstract: A system and method operates to analyze a data stream, for example, a stream of download times for accessing information through a computer network. The system and method are capable of identifying abnormalities in the data stream compared to previous data in the data stream. More particularly, the system and method is capable of dynamically analyzing a data stream to detect abrupt, severe abnormalities as well subtle changes that occur over time.