At&t Intellectual Property I, L.p.

At&t Bell Laboratories

Li-Jin Wu Chung

Jeffrey Stein

Yu-Lein Kung

Ching-Chyuan Shieh

David H Lu

Richard Alan Farel

Chuan-Chuen Chang

Alek Remash

Hossein Eslambolchi

Paritosh Bajpay

John McCanuel

Leah L Zhang

Kevin L D'Souza

John Crescenti

Madhukar M Kshirsagar

Chee Ching

James Anthony Schmitt

Zhijian Xu

Min-Hsuan Chen

Rohini Bhangley

Richard E Machol

A system and method for performing a first diagnostic test on a first class of service on a network link during a current measurement period, performing at least one further diagnostic test on a second class of service on the network link during the current measurement period, determining whether an alert was present during a previous measurement period and generating a current failure alert based on results of the first and the at least one further diagnostic tests if an alert was present during the previous measurement period.

Method and system for silent trunk failure detection

A system that incorporates teachings of the present disclosure may include, for example, a server having a controller to obtain billing data associated with a plurality of calls over a Voice Over Internet Protocol network, determine special service calls being made based on the billing data, monitor for the special service calls being associated with at least one of one calling number or one network node, and determine an undesired condition based at least in part on the special service calls being made from the one calling number or through the one network node exceeding a threshold. Other embodiments are disclosed.

Apparatus and method for managing priority communication

In one embodiment, the present invention is a method and apparatus for assuring Voice over Internet Protocol service. In one embodiment, a system for assuring Voice over Internet Protocol service includes a performance management platform for collecting performance management data from a plurality of sources in a Voice over Internet Protocol network, for detecting at least one abnormal event in accordance with the collected performance management data, and for reporting a volume of traffic in the Voice over Internet Protocol network and a trouble ticketing system for generating a ticket identifying a root cause of the abnormal event(s).

Method and apparatus for assuring voice over internet protocol service

In one embodiment, a method for managing a Voice over IP (VoIP) network includes collecting a first set of data from a first source of network performance management data, each data item in the first set of data corresponding to a call made using the VoIP network; collecting a second set of data from a second source of network performance management data, each data item in the second set of data corresponding to a call made using the VoIP network and being of a different type than the first set of data; correlating the first set of data and the second set of data such that a data item from the first set of data is matched with a data item from the second set of data that corresponds to a common call made over the VoIP network; and outputting a performance report based on the correlating.

Method and apparatus for correlation of data sources in a Voice over Internet Protocol network

A method and apparatus that employ the use of CDRs to effectively monitor and proactively respond to network or service events that impact performance within a network are disclosed. For example, the method receives a plurality of call detail records (CDRs), wherein each of the plurality of call detail records comprises a plurality of fields. The method determines a n-field rule signature from each of the call detail records (CDRs), and analyzes the n-field rule signatures from the plurality of call detail records (CDRs) for detecting at least one network performance problem.

Method and apparatus for detecting network and service performance degradations using call detail records

Methods and apparatus to characterize and predict network health status are presented. A particular method of characterizing and predicting a health status of a network node includes receiving a plurality of report values associated with the network node, where each report value is one of alert and normal, and where each report value is received at a corresponding time. The method includes calculating a current report weight associated with a current report value received at a current time. When a first previous report value was received at a first previous time before the current time, the current report weight is calculated based at least partially on the current report value and at least partially on a first previous report weight associated with the first previous value. The method includes storing the current report weight at a memory device.

Methods and apparatus to characterize and predict network health status

Techniques for monitoring and processing network reachability events across a service provider's network are disclosed. The techniques include monitoring provider-edge routers by identifying reachability events and partial packet loss events, and processing those events so as to reduce the number of alarms generated for investigation.

MPLS VPN connectivity alarm storm reduction

An arrangement analyzes a plurality of call detail records and determines that a particular call processing code has occurred a predetermined number of times during a previously defined time interval. The fact of these multiple occurrences of these processing codes is determined to be an indication of a trunk failure. A maintenance request is issued to address the detected failure.

Method for providing predictive maintenance relating to trunk operations in a VoIP network

A threshold-based call control facility is provided for use in a telecommunications network switch to control the processing of calls associated with so-called high capacity (HICAP) telecommunications services. In addition, a feature is provided for dynamically changing a respective threshold value at each network switch until the number of such calls reaching a respective destination switch, and hence an associated trunk group, reaches an optimum level, in which each such change in the value of the threshold is determined as a function of traffic data accumulated by the destination switch for the associated trunk group.

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Lincroft, NJ, United States of America

Li-Jin Wu Chung