Coflow identification method and system, and server using method

    公开(公告)号:US10567299B2

    公开(公告)日:2020-02-18

    申请号:US16127649

    申请日:2018-09-11

    Abstract: A coflow identification method includes: obtaining a weighted matrix by means of learning according to historical data in the network, where the weighted matrix is used to minimize a feature distance between data streams belonging to a same coflow and maximize a feature distance between data streams belonging to different coflows; computing a feature distance between any two data streams in the network according to metrics in the data stream layer data feature, the application layer data stream feature distance, the terminal aspect data feature distance, and the weighted matrix; and dividing the data streams in the network into several cluster sets by using a clustering algorithm and according to the feature distance between the any two data streams in the network, where each of the several cluster sets is a coflow.

    PICTURE PREDICTION METHOD AND RELATED APPARATUS

    公开(公告)号:US20170180727A1

    公开(公告)日:2017-06-22

    申请号:US15454356

    申请日:2017-03-09

    Abstract: A picture prediction method and a related apparatus are disclosed, which includes: determining N templates whose degrees of matching with a current template meet a preset condition, where the current template is a template corresponding to a current picture block, and the M templates are obtained by searching reference pictures of the current picture block; determining a weight of a pixel area in a picture block corresponding to each template in the N templates, where weights of at least two pixel areas in a picture block corresponding to at least one template in the N templates are different; and calculating a predicted pixel value of a pixel area in the current picture block based on the weight and a pixel value of the pixel area in the picture block corresponding to each template in the N templates, where the pixel area includes at least one pixel.

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