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公开(公告)号：US10609578B1
公开(公告)日：2020-03-31
申请号：US16414242
申请日：2019-05-16
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Supratim Deb , He Yan , Karunasish Biswas , Joseph Allen Notter
Abstract: A method, system and computer-readable medium where a weighted composite quality index having a plurality of components for a network element is identified. A historical baseline value from historical data for each component is determined, and a deviation from the historical baseline values is measured. A risk level for the deviation is assigned. A loss score for the measured components is computed by mapping the risk level to a numerical score. An aggregated risk score based on a sum of weighted risk scores for each of the components is computed. An expected risk score based on probabilities associated with the aggregated risk score is determined by computing future probabilities of each risk level at the network element based on a trained machine learning model.
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公开(公告)号：US10764116B2
公开(公告)日：2020-09-01
申请号：US16454989
申请日：2019-06-27
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Supratim Deb , Subhabrata Sen , Pramod Jamkhedkar
IPC: G06F15/173 , H04L12/24 , G06F16/248 , G06F16/2452 , G06F16/245
Abstract: A system for troubleshooting a network, the system comprising a virtual machine including a virtual central processor in communication with at least one memory, virtual machine including a knowledge base configured to store contextual information related to the network; a knowledge base manager in communication with the knowledge base, the knowledge base manager configured to collect at least one of contextual information and problem information from at least one data source on the network and populate the knowledge base; a problem monitor in communication with the knowledge base and the knowledge base manager, the problem monitor configured to receive the problem information from the knowledge base manager; a query evaluation engine in communication with the knowledge base and the problem monitor; an interface configured to receive a query; and a natural language query translator in communication with the interface and the query evaluation engine; wherein the natural language query translator is configured to provide a natural language query from the interface and transmit the query in a machine readable format to the query evaluation engine; wherein the query evaluation engine collects at least one of the contextual information in the knowledge base and the problem information in the problem manager relevant to the query and generate a recommendation list.
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Patent Agency Ranking
公开(公告)号：US20190319831A1
公开(公告)日：2019-10-17
申请号：US16454989
申请日：2019-06-27
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Supratim Deb , Subhabrata Sen , Pramod Jamkhedkar
IPC: H04L12/24 , G06F16/248 , G06F16/245 , G06F16/2452
Abstract: A system for troubleshooting a network, the system comprising a virtual machine including a virtual central processor in communication with at least one memory, virtual machine including a knowledge base configured to store contextual information related to the network; a knowledge base manager in communication with the knowledge base, the knowledge base manager configured to collect at least one of contextual information and problem information from at least one data source on the network and populate the knowledge base; a problem monitor in communication with the knowledge base and the knowledge base manager, the problem monitor configured to receive the problem information from the knowledge base manager; a query evaluation engine in communication with the knowledge base and the problem monitor; an interface configured to receive a query; and a natural language query translator in communication with the interface and the query evaluation engine; wherein the natural language query translator is configured to provide a natural language query from the interface and transmit the query in a machine readable format to the query evaluation engine; wherein the query evaluation engine collects at least one of the contextual information in the knowledge base and the problem information in the problem manager relevant to the query and generate a recommendation list.
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公开(公告)号：US10355912B2
公开(公告)日：2019-07-16
申请号：US15480768
申请日：2017-04-06
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Supratim Deb , Subhabrata Sen , Pramod Jamkhedkar
IPC: G06F15/173 , H04L12/24 , G06F16/248 , G06F16/2452 , G06F16/245
Abstract: A system for troubleshooting a network, the system comprising a virtual machine including a virtual central processor in communication with at least one memory, virtual machine including a knowledge base configured to store contextual information related to the network; a knowledge base manager in communication with the knowledge base, the knowledge base manager configured to collect at least one of contextual information and problem information from at least one data source on the network and populate the knowledge base; a problem monitor in communication with the knowledge base and the knowledge base manager, the problem monitor configured to receive the problem information from the knowledge base manager; a query evaluation engine in communication with the knowledge base and the problem monitor; an interface configured to receive a query; and a natural language query translator in communication with the interface and the query evaluation engine; wherein the natural language query translator is configured to provide a natural language query from the interface and transmit the query in a machine readable format to the query evaluation engine; wherein the query evaluation engine collects at least one of the contextual information in the knowledge base and the problem information in the problem manager relevant to the query and generate a recommendation list.
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公开(公告)号：US11343135B2
公开(公告)日：2022-05-24
申请号：US16985768
申请日：2020-08-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Supratim Deb , Subhabrata Sen , Pramod Jamkhedkar
IPC: G06F15/173 , H04L41/0631 , G06F16/248 , G06F16/2452 , H04L41/16 , G06F16/245
Abstract: A system includes one or more processors and a memory. The processor(s) effectuates operations including receiving a query, wherein the query identifies one or more problems in the network. The processor(s) further effectuates operations including retrieving contextual information and problem information, associated with the one or more problems, from a knowledge base and generating a first recommendation list comprising one or more recommendations, wherein each of the one or more recommendations comprises the contextual information or the problem information and at least one course of action. The processor(s) further effectuates operations including receiving a selection of a recommendation from the first recommendation list and updating the knowledge base to include information associated with the selection of the recommendation and generating, in response to a further query, a second recommendation list comprising one or more further recommendations that include further contextual information or further problem information retrieved from the knowledge base.
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公开(公告)号：US11337087B2
公开(公告)日：2022-05-17
申请号：US16803688
申请日：2020-02-27
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Supratim Deb , He Yan , Karunasish Biswas , Joseph Allen Notter
Abstract: A method, system and computer-readable medium where a weighted composite quality index having a plurality of components for a network element is identified. A historical baseline value from historical data for each component is determined, and a deviation from the historical baseline values is measured. A risk level for the deviation is assigned. A loss score for the measured components is computed by mapping the risk level to a numerical score. An aggregated risk score based on a sum of weighted risk scores for each of the components is computed. An expected risk score based on probabilities associated with the aggregated risk score is determined by computing future probabilities of each risk level at the network element based on a trained machine learning model.
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公开(公告)号：US20190281077A1
公开(公告)日：2019-09-12
申请号：US15914769
申请日：2018-03-07
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Supratim Deb , Shobha Venkataraman , Zihui Ge , He Yan , Jennifer Yates , Sanjeev Ahuja , Sarat Puthenpura
Abstract: A system for generating network policies includes a run-time execution platform configured to manage operations of a network, an analytics engine in communication with the run-time execution platform, an input-output interface associated with the analytics engine, and a processor coupled to the input-output interface and wherein the processor effectuates operations including creating a set of baseline performance statistics associated with the network, identifying an anomaly in the network, scoring the anomalies based on the identifying step, and setting policies for operation of the network using predictive analytics.
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