Abstract: A network based algorithmic Service Objective (SO) is evaluated by defining an SO script comprising a plurality of Service Indicators (SIs), each of the SIs comprising an equation including a plurality of operands and at least one operator, instantiating the SO script into an object-oriented representation of the SO, obtaining values for each of the plurality of operands, and computing each of the SI equations using the obtained values.

Abstract: A network behavioral metric is extracted from a communication network based on a relevancy of the metric to network behavior by identifying a network metric x that is defined as a random variable that represents a quantitative measure of a network behavior accumulated over a period of time, selecting a network feature, generating a metric disintegration model for the network metric x comprising at least one normal behavior probability distribution function for the metric x for each value of the network feature, respectively, and at least one abnormal behavior probability distribution function for the metric x for each value of the network feature, respectively, increasing a number of the values of the metric x that indicates normal network behavior and/or abnormal network behavior based on the metric disintegration model, and selecting a network metric x as a behavioral metric based on a relevancy ? of the network metric x to the network behavior.

Abstract: A communication network is operated by monitoring a bandwidth utilization of a shared network resource, performing a statistical analysis to determine a mean utilization peak and/or a utilization peak coefficient of variance, monitoring a bandwidth utilization of lines, ports, and/or channels associated with the shared network resource, performing a statistical analysis to determine a percentage M of the lines, ports, and/or channels whose consumption of bandwidth exceeds a first threshold percentage of the mean utilization peak, and determining whether to groom traffic carried by the shared network resource based on the mean utilization peak, the utilization peak coefficient of variance, and/or the percentage M.

Abstract: A communication network is operated by collecting data rate information for at least one Digital Subscriber Line (DSL), comparing the collected data rate information with a provisioned data rate associated with the at least one DSL, resetting the at least one DSL if the collected data rate information for the at least one DSL is less than the provisioned data rate associated with the at least one DSL, performing a statistical analysis on time the at least one DSL operates at about the provisioned data rate versus time the at least one DSL operates below the provisioned data rate, and determining whether the at least one DSL has an impedance problem based on the statistical analysis.

Abstract: A network behavioral metric is extracted from a communication network based on a relevancy of the metric to network behavior by identifying a network metric x that is defined as a random variable that represents a quantitative measure of a network behavior accumulated over a period of time, selecting a network feature, generating a metric disintegration model for the network metric x comprising at least one normal behavior probability distribution function for the metric x for each value of the network feature, respectively, and at least one abnormal behavior probability distribution function for the metric x for each value of the network feature, respectively, increasing a number of the values of the metric x that indicates normal network behavior and/or abnormal network behavior based on the metric disintegration model, and selecting a network metric x as a behavioral metric based on a relevancy ? of the network metric x to the network behavior.

Abstract: A network based algorithmic Service Objective (SO) is evaluated by defining an SO script comprising a plurality of Service Indicators (SIs), each of the SIs comprising an equation including a plurality of operands and at least one operator, instantiating the SO script into an object-oriented representation of the SO, obtaining values for each of the plurality of operands, and computing each of the SI equations using the obtained values.

Abstract: A communication network is operated by collecting data rate information for at least one Digital Subscriber Line (DSL), comparing the collected data rate information with a provisioned data rate associated with the at least one DSL, resetting the at least one DSL if the collected data rate information for the at least one DSL is less than the provisioned data rate associated with the at least one DSL, performing a statistical analysis on time the at least one DSL operates at about the provisioned data rate versus time the at least one DSL operates below the provisioned data rate, and determining whether the at least one DSL has an impedance problem based on the statistical analysis.

Abstract: A communication network is operated by monitoring a bandwidth utilization of a shared network resource, performing a statistical analysis to determine a mean utilization peak and/or a utilization peak coefficient of variance, monitoring a bandwidth utilization of lines, ports, and/or channels associated with the shared network resource, performing a statistical analysis to determine a percentage M of the lines, ports, and/or channels whose consumption of bandwidth exceeds a first threshold percentage of the mean utilization peak, and determining whether to groom traffic carried by the shared network resource based on the mean utilization peak, the utilization peak coefficient of variance, and/or the percentage M.