At&t Intellectual Property I, L.p.

Sbc Knowledge Ventures, L.p.

Google Inc.

At&t Mobility Ii LLC

Sbc Properties, L.p.

Assia Spe, LLC

Chanyu Holdings, LLC

At&t Services, Inc.

Sbc Services, Inc.

Raghvendra Savoor

Zhi Li

Kapil Vishwas Shrikhande

Canhui Ou

Frederick Armanino

Stuart Blackburn

Jin Wang

Jian Li

Baofeng Jiang

Xidong Wu

Orestis Manthoulis

Stephen Albert Sposato

Chen-Yui Yang

Dipak Ghosal

Kevin Xiangkai Meng

Richard Dennis Hart

John Porter Van Slyke

Peter Richard Wong

Paritosh Bajpay

Kent McCammon

Ganesh Krishnamurthi

Steve Sposato

Yaron Kanza

Yali Liu

Mung Chiang

Huang Lee

Sun-Uk Park

David Kimble

Steven Gemelos

Christine E Bouamalay

Russell B Bellford

Sarat Puthenpura

David H Lu

Arun Jotshi

Ravi Raina

Gopalakrishnan Meempat

Mehdi Malboubi

Anthony Mark Srdar

Anthony Petronelli

Michael Tisiker

Vishwanath Ramamurthi

Jerold Osato

Ali Zolfaghari

Miguel Tomas Molina

Xiaochuan Yi

Robert Roycroft

Stephen S Sowell

Ronald D Crawford

Cathleen Southwick

Oliver Spatscheck

John Matthew Cioffi

Alexandre Gerber

Albert Gordon Greenberg

Zhengye Liu

David Benjamin Small

Huahui Wang

J Bradley Bridges

Andre Fuetsch

Kaiyan Chen

Laxman Sahasrabuddhe

Michael Liu

Mengfeng Tsai

Dick Kwan

Aaron R Sullivan

Imad Ahmad

Hua Jiao

George Keith Cambron

James Fan

Balachander Krishnamurthy

Charles Robert Kalmanek, Jr

Wenjie Zhao

Michael Raftelis

Georgios Ginis

Yongdong Zhao

Arvind Ramdas Mallya

Jackson Liu

Shiv Kumar

Soshant Bali

Philip Stanley Bednarz

Monowar Hossain

Peter Joshua Silverman

Seong Taek Chung

Gary Tennyson

Wei Yuan

Balaji R Puli

Thiru Ilango

Chou Lan Pok

Bruce Alden Schine

Donggen Zhang

Narendra Ravi

Sichong Guan

Randal Biederstedt

Steve Gemelos

Ashima Mangla

Farhan Mir

Hauhui Wang

Orestis Mathoulis

Jian Livescu

Ganesh Krishnamuthi

Jungsub Byun

Aspects of the subject disclosure may include, for example, instantiating a virtual smartphone in a cloud infrastructure, installing a smartphone application on the virtual smartphone, receiving input sensor data from a physical user device, providing the input sensor data to the smartphone application on the virtual smartphone, receiving output data from the smartphone application on the virtual smartphone, and providing the output data to the physical user device. Other embodiments are disclosed.

Cloud resources for smartphone applications

Server selection for improving latency with an instance of a service is disclosed. Generally, lower core latency is preferable. Core latencies can be related to a physical distance between endpoints connected via a communication pathway, such as a first server and second server connected via network equipment. A geographic distance between endpoints can be different from a topological distance of a communication pathway between endpoints. Endpoints, e.g., servers, can be ranked based on topological distance. The ranking can be communicated to service provider equipment to enable selection of a server based on a corresponding ranking of the server. Selection of an endpoint based on topological distance can enable improved latency in comparison to selecting an endpoint based on geographical distance. Improved latency can result in an improved quality of experience for a user of a service supported by an endpoint selected based on topological distance.

Server selection for reducing latency with a service instance

In one example, the present disclosure describes a device, computer-readable medium, and method for implementing programmable security specifications in home routers. For instance, in one example, a method performed by a processing system including at least one processor includes monitoring network traffic flowing into and out of a home network that is connected to a core network via a gateway device, constructing a model of network traffic flowing into and out of the home network, based on the monitoring, detecting an anomaly in the model of the network traffic, generating a rule based on the anomaly, where the rule specifies an action to be taken when a match condition related to the anomaly is detected, and deploying the rule on the gateway device.

Implementing network security rules in home routers

Aspects of the subject disclosure may include, for example, obtaining data pertaining to a communication service facilitated at least in part by a first gateway located in a building, the communication service involving at least a first user equipment, analyzing the data to determine that a processing load supported by the first gateway exceeds a first threshold, wherein the first threshold is expressed as a function of a capacity of the first gateway, resulting in a determination, and based on the determination, performing an action that causes the processing load supported by the first gateway to be reduced to a level that is less than the first threshold. Other embodiments are disclosed.

Apparatuses and methods for facilitating a remote gateway on a cloud platform

Resources associated with a responder communication network and a communication network can be managed in an effective manner. In connection with an event, a resource management component (RMC) can analyze network-related data associated with the networks and external data relating to the event or a geographic area related thereto. In connection with the event, based on the analysis, RMC can desirably manage the resources, in part, by determining locations or adjustments for portable base stations, sensors, and/or devices associated with the responder communication network to facilitate high quality communication of information, determining traffic routes and other path planning for vehicles or personnel, creating network slices for high quality communication of information, and/or performing monitoring and intelligent troubleshooting with regard to the networks. RMC can employ artificial intelligence or machine learning techniques and models to facilitate making desired predictions or inferences relating to the event or networks.

Intelligent support framework usable for enhancing responder network

Aspects of the subject disclosure may include, for example, a method in which a processing system coupled to a communication network identifies, based on base station unit (BSU) performance measurements and network key performance indicator (KPI) measurements, a set of BSUs experiencing interference. The method further includes selecting BSUs from the identified set that are to be provided with an auxiliary antenna array; and computing, for each BSU in the identified set, parameters to be used by modules of the BSU that are local to the BSU and configured to perform interference detection, interference estimation, and/or interference cancellation; the computed parameters are used in a reconfiguration procedure for the modules of the BSU. Other embodiments are disclosed.

Network centric interference and noise cancellation in wireless networks

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

Resources associated with a responder communication network and a communication network can be managed in an effective manner In connection with an event, a resource management component (RMC) can analyze network-related data associated with the networks and external data relating to the event or a geographic area related thereto. In connection with the event, based on the analysis, RMC can desirably manage the resources, in part, by determining locations or adjustments for portable base stations, sensors, and/or devices associated with the responder communication network to facilitate high quality communication of information, determining traffic routes and other path planning for vehicles or personnel, creating network slices for high quality communication of information, and/or performing monitoring and intelligent troubleshooting with regard to the networks. RMC can employ artificial intelligence or machine learning techniques and models to facilitate making desired predictions or inferences relating to the event or networks.

Methods, systems, and apparatuses, among other things, as described herein may provide for hyperlocal edge cache. A method includes intercepting a request for a resource/entity associated with an application; determining that the request can be served from the cache, wherein the cache is connected with a base station and only serves devices directly connected with the base station; and responding to fulfill the request for the resource associated with the application.

Hyperlocal edge cache

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

Methods and systems for providing content. A selection of a single virtual channel may be received from the user. Virtual programming data for the single virtual channel may be accessed. The virtual programming data may define content to be provided over the single virtual channel. The content may be provided over the single virtual channel in accordance with the virtual programming data.

Method and system for providing content

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 method includes receiving, by a server, a data transmission of video content destined for a data storage device. The method includes generating, by the server, a content signature by application of a wavelet transform to a plurality of frames of a time sequence of frames of the video content. The method includes selecting, by the server based on content metadata for the video content, particular prohibited content signatures from a plurality of prohibited content signatures. Each prohibited content signature of the particular prohibited content signatures corresponds to a wavelet transform of a plurality of frames of prohibited content. The method also includes, in response to a first determination that a first prohibited content signature of the particular prohibited content signatures matches the content signature, preventing transmission of the video content from the server to the data storage device.

Systems and methods to identify target video content

Growing community of inventors

Walnut Creek, CA, United States of America

Raghvendra Savoor