Trendium, Inc.

Nettraffic, Inc.

Hanafy Meleis

Mohamed Battisha

Sameh Yamany

Ayman Eldeib

Salah Serghini

Satya Samineni

Guoqiang Liu

Kevin Richardson

Embodiments of the present invention provide network models, methods, systems, and computer program products for managing a service. For example, in some embodiments, a network model for managing a service includes an end service domain that associates the service with an end service provider. The end service domain includes a plurality of wholesale service domains that each includes one or more networks that provide traffic transport for the end service domain. One or more gateways are used to couple one of the wholesale service domains to another one of the wholesale service domains, and to perform protocol translation on traffic passing between the coupled wholesale service domains. In addition, one or more gateways are configured to couple a user to the end service domain, and are further configured to communicate with the user by a protocol associated with the service. A process domain provides an abstract representation of applications provided by the end service domain.

Network models, methods, and computer program products for managing a service independent of the underlying network technology

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.

Methods, systems, and computer program products for real time configuration and analysis of network based algorithmic service objectives

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 &#x3b7; of the network metric x to the network behavior. Embodiments for tracking network behavioral changes are also provided.

Methods, systems, and computer program products extracting network behavioral metrics and tracking network behavioral changes

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.

Methods, systems, and computer program products for grooming traffic on a shared network facility based on a peak utilization analysis of the shared network facility

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.

Methods, systems, and computer program products for automatic detection of an incorrect digital subscriber line modem and filter configuration at a customer premises

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Weston, FL, United States of America

Hanafy Meleis