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公开(公告)号：US10439947B2
公开(公告)日：2019-10-08
申请号：US15354759
申请日：2016-11-17
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio , Thierry Gruszka
IPC: H04L12/835 , H04L12/861 , H04L12/875 , H04N21/442 , H04N21/658 , H04N21/845
Abstract: According to one aspect, a method includes identifying at least a first chunk to be obtained, the at least first chunk including at least a first packet, and determining a deadline for the first chunk, the deadline being indicative of an amount of time before the first chunk is needed. The method also includes determining whether the deadline for the first chunk is relatively long, and de-prioritizing the first chunk with respect to obtaining the first chunk for queueing in a buffer when it is determined that the deadline for the first chunk is relatively long. Finally, the method includes obtaining the first chunk for queueing in the buffer, wherein obtaining the first chunk for queueing in the buffer includes obtaining the first chunk after obtaining a second chunk for queueing in the buffer, the second chunk having a shorter deadline than the deadline for the first chunk.
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公开(公告)号：US09998805B2
公开(公告)日：2018-06-12
申请号：US15660882
申请日：2017-07-26
Applicant: Cisco Technology, Inc.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio
Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.
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Patent Agency Ranking
公开(公告)号：US20200068041A1
公开(公告)日：2020-02-27
申请号：US16666518
申请日：2019-10-29
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
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公开(公告)号：US09749718B1
公开(公告)日：2017-08-29
申请号：US15215098
申请日：2016-07-20
Applicant: Cisco Technology, Inc.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio
Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.
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公开(公告)号：US11005965B2
公开(公告)日：2021-05-11
申请号：US16666518
申请日：2019-10-29
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
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公开(公告)号：US20180027309A1
公开(公告)日：2018-01-25
申请号：US15660882
申请日：2017-07-26
Applicant: Cisco Technology, Inc.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio
IPC: H04Q9/00
Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.
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公开(公告)号：US20170366425A1
公开(公告)日：2017-12-21
申请号：US15185157
申请日：2016-06-17
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
CPC classification number: H04L67/306 , H04L41/046 , H04L41/145 , H04L41/16 , H04L43/026 , H04L43/04 , H04L67/02 , H04L67/2804 , H04L67/327
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
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