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公开(公告)号:US20180109819A1
公开(公告)日:2018-04-19
申请号:US15292466
申请日:2016-10-13
Applicant: Cisco Technology, Inc.
Inventor: Zheng Lu , Sangeeta Ramakrishnan , Xiaoqing Zhu
IPC: H04N21/2387 , H04L29/08 , H04N21/472 , H04N21/258 , H04N21/442 , H04N21/45 , H04N21/44
CPC classification number: H04N21/2387 , H04L67/303 , H04N21/25808 , H04N21/25891 , H04N21/44 , H04N21/44209 , H04N21/4532 , H04N21/4621 , H04N21/47217 , H04N21/64322 , H04N21/8456
Abstract: In one implementation, a method performed by a client device includes: determining a perceptual characterization metric, where the perceptual characterization metric provides a quantitative characterization of factors that determine quality of experience associated with a first playback profile of media content presented by the client device; and normalizing the perceptual characterization metric based on characterization factors associated with the client device. The method further includes: obtaining an aggregate perceptual characterization metric that is based at least in part on the normalized perceptual characterization metric from the client device and one or more other perceptual characterization metrics from other client devices sharing at least one network resource with the client device; and determining whether to change the first playback profile based on a function of the first normalized perceptual characterization metric and the aggregate perceptual characterization metric.
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公开(公告)号:US10708195B2
公开(公告)日:2020-07-07
申请号:US16141517
申请日:2018-09-25
Applicant: Cisco Technology, Inc.
Inventor: John T. Chapman , Elias Chavarria Reyes , Alon Shlomo Bernstein , Dantong Liu , Zheng Lu
IPC: H04L12/911 , H04L12/28 , H04L12/801
Abstract: Predictive scheduling may be provided. First, a first device may identify when a service flow is expected to become active. The first device may estimate an initial traffic profile in response to identifying when the service flow is expected to become active. The first device may then grant allocation based on the initial traffic profile of the service flow. Next, the first device may collect feedback to later update the traffic profile estimate. The first device may then update the traffic profile estimate.
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公开(公告)号:US10104407B2
公开(公告)日:2018-10-16
申请号:US15292466
申请日:2016-10-13
Applicant: Cisco Technology, Inc.
Inventor: Zheng Lu , Sangeeta Ramakrishnan , Xiaoqing Zhu
IPC: H04N21/44 , H04N21/2387 , H04L29/08 , H04N21/472 , H04N21/258 , H04N21/442 , H04N21/45
Abstract: In one implementation, a method performed by a client device includes: determining a perceptual characterization metric, where the perceptual characterization metric provides a quantitative characterization of factors that determine quality of experience associated with a first playback profile of media content presented by the client device; and normalizing the perceptual characterization metric based on characterization factors associated with the client device. The method further includes: obtaining an aggregate perceptual characterization metric that is based at least in part on the normalized perceptual characterization metric from the client device and one or more other perceptual characterization metrics from other client devices sharing at least one network resource with the client device; and determining whether to change the first playback profile based on a function of the first normalized perceptual characterization metric and the aggregate perceptual characterization metric.
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公开(公告)号:US20190097945A1
公开(公告)日:2019-03-28
申请号:US16141517
申请日:2018-09-25
Applicant: Cisco Technology, Inc.
Inventor: John T. Chapman , Elias Chavarria Reyes , Alon Shlomo Bernstein , Dantong Liu , Zheng Lu
IPC: H04L12/911 , H04L12/801
CPC classification number: H04L47/823 , H04L12/2861 , H04L12/2878 , H04L47/127
Abstract: Predictive scheduling may be provided. First, a first device may identify when a service flow is expected to become active. The first device may estimate an initial traffic profile in response to identifying when the service flow is expected to become active. The first device may then grant allocation based on the initial traffic profile of the service flow. Next, the first device may collect feedback to later update the traffic profile estimate. The first device may then update the traffic profile estimate.
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