At&t Intellectual Property I, LP

Sbc Knowledge Ventures, L.p.

Sbc Properties, L.p.

At&t Services, Inc.

Sbc Services, Inc.

Frederick Armanino

Raghvendra Savoor

David Kimble

Peter Richard Wong

Zhi Li

Orestis Manthoulis

Wayne Robert Heinmiller

Michael Liu

Kevin James Moisan

Robert Roycroft

Mengfeng Tsai

Cathleen Southwick

Peter A Wong

Baofeng Jiang

Kevin Xiangkai Meng

Richard Dennis Hart

Steven Gemelos

Andre Fuetsch

Laxman Sahasrabuddhe

John D Estes

Sam Ou

Imad Ahmad

George Swinston McLain

Carol Mingst

Jerold Osato

Bruce Alden Schine

Amit Rele

Randal Biederstedt

Orestis Mathoulis

John G Rozema

Anthony Wayne Merritt

Theresa Jayne Lees

Tomoko O Convis

James Edward Hoffmann

David Berendsen

Richard E Hawthorne

David W Curry

A method performed by a processor in a network function virtualization infrastructure includes determining an amount of resources consumed by a virtual network function subsequent to a scaling of the amount of resources in response to an occurrence of a predefined trigger event, determining an amount of time elapsed between the predefined trigger event and a completion of the scaling, determining a key performance indicator value for the virtual network function subsequent to completion of the scaling, evaluating an efficiency of the predefined trigger event that triggers the scaling, based on the amount of resources consumed by the virtual network function subsequent to the scaling, the amount of time elapsed between the detection of the predefined trigger event and completion of the scaling, and the key performance indicator for the virtual network function subsequent to completion of the scaling, and adjusting the predefined trigger event based on the evaluating.

Adjusting triggers for automatic scaling of virtual network functions

In one example, a processing system may support capacity management in a virtualization environment based on hierarchical capacity management. The processing system may maintain a policy for a first capacity agent at a first hierarchical layer. The policy may include a set of key capacity indicators, a capacity limit, and an algorithm. The processing system may obtain, based on the set of key capacity indicators, a set of key capacity indicator information. The processing system may monitor, based on the capacity limit, for a detection of a capacity limit event. The processing system may determine, based on the algorithm, a predicted capacity exhaustion point. The processing system may send, toward a second capacity agent at a second hierarchical layer that is above the first hierarchical layer, the set of key capacity indicator information and the predicted capacity exhaustion point.

Hierarchical capacity management in a virtualization environment

A cloud oversubscription system including one or more processors and a memory coupled with the one or more processors. The one or more processors effectuate operations including obtaining a list of service level agreement (SLA) availability values for each of one or more virtual machines (VMs) of a host. The one or more processors further effectuate operations including analyzing the list to determine a maximum availability number for the host. The one or more processors further effectuate operations including identifying a probable overload condition value based on the SLA availability values. The one or more processors further effectuate operations including performing at least one recommended action when the probable overload condition value exceeds an SLA before an occurrence of an overload condition.

Cloud oversubscription system

A cloud oversubscription system comprising an overload detector configured to model a time series of data of at least one virtual machine on a host as a vector-valued stochastic process including at least one model parameter, the overload detector communicating with an inventory database, the overload detector configured to obtain an availability requirement for each of the at least one virtual machine; a model parameter estimator communicating with the overload detector, the model parameter estimator communicating with a database containing resource measurement data for at least one virtual machine on a host at a selected time interval, the model parameter estimator is configured to estimate the at least one model parameter from the resource measurement data; a loading assessment module communicating with the model parameter module to obtain the at least one model parameter for each of the at least one host running at least one virtual machine and determine a probability of overload based on the at least one model parameter, wherein the loading assessment module communicates the probability of overload to the overload detector; wherein the overload detector compares the probability of overload to the availability requirement to identify a probable overload condition value; and wherein the overload detector communicates the probable overload condition value to a recommender, wherein the recommender generates an alert when the overload condition value exceeds the service level agreement requirements for any of the at least one virtual machine.

A system includes a reformatting component configured to generate element management system data having a common data format by reformatting a first set of element management system data and a second set of element management system data. The system also includes a display component configured to use the element management system data to display network performance metrics via a user interface. The user interface includes at least one regional level view including a list of one or more service markets within each of one or more service regions.

Web based capacity management (WBCM) system

A network capacity management system and method are disclosed. In one form, a capacity management system for use with an optical network includes a network capacity management engine operable to actively access a network element. The system further includes a network-based application interface associated with the network capacity management engine. The application may facilitate providing information associated with a network element to a user in near real-time.

Network capacity management system and method

A user interface for viewing network system data is provided and includes at least one company level view that includes a list of one or more service regions within a company, at least one regional level view that includes a list of one or more service markets within each of the one or more service regions, and at least one market level view that includes a list of one or more wire centers within the one or more service markets.

The present invention discusses a computerized method for managing a communication network through processing data used in a Capacity Management System (CMS) associated with the communication network. A configurable grammar, such as an XML grammar with regular expressions, is used to implement various aspects of network management. Data management includes pre-processing data (transferring data, decompressing data, parsing data), loading data into a relational database, and data analysis. Results of data analysis can be used to determine a network condition, and thereby to enable network management.

Network capacity management system

A system and method are disclosed for storing element information. A method incorporating teachings of the present disclosure may include, for example, creating a structured text object that includes information representing a collection of metrics for a tracked network node. The network node may be, for example, a computing device, a communication link, and/or an interface mechanism. In practice, the text object may be compressed into a binary element, and the binary element may be stored in a data store.

System and method for storing element information

An IP usage pattern of a first computer system is monitored by a second computer system that is remotely located from the first computer system. The second computer system is associated with an ISP. First parasite software may be identified based on an abnormal change in the IP usage pattern. The abnormal change in the IP usage pattern may be detected by comparing the IP usage pattern to a baseline model of IP usage for the first computer system. Anti-parasite software associated with the first parasite software may be forwarded from the ISP to the first computer system.

Method and system for remotely detecting parasite software

A method and system include obtaining at a first time a first image of a database having number portability records for each telephone number which has been ported between service providers. The first image is indicative of the LNP records in the database at the first time. At a second time a second image of the database is obtained. The second image is indicative of the records in the database at the second time. The first and second images are compared to determine migration of ported telephone numbers.

Method and system for determining migration of ported telephone numbers between service providers

A system and method for imputing data into a database includes an imputing system operable to impute data based on outside plant construction principles. The imputing system includes an inventory database, a data engine, a search engine, and a loop engine. The inventory database includes a plurality of distribution records each associated with one or more cable pairs. The data engine determines if a desired distribution record corresponding to a desired cable pair includes missing data. The search engine searches a known class of serving terminals for complete distribution records and iteratively searches a sized binder group within the inventory database for one or more complete distribution records where the size of the binder group searched increases with each iterative search. The loop engine determines an imputed value for the desired distribution record based on the searching and imputes the value into the desired distribution record.

System and method for completing incomplete records in a database of twisted cable pair information

An Internet Protocol (IP) usage pattern of a first computer system is monitored by a second computer system remotely located from the first computer system. Based on the monitoring, it is determined if the IP usage pattern is abnormal for the first computer system. If the IP usage pattern is abnormal, an alert signal is generated for the first computer system by the second computer system. The alert message indicates a potential presence of parasite software on the first computer system.

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San Antonio, TX, United States of America

Frederick Armanino