知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

1649 条记录 (耗时 0.026 秒)

    Server-side prediction of media client steady state
    4.
    发明授权
    Server-side prediction of media client steady state 有权

    公开(公告)号：US12088657B2

    公开(公告)日：2024-09-10

    申请号：US17959807

    申请日：2022-10-04

    申请人： Akamai Technologies, Inc.

    发明人： William R. Law

    IPC分类号： G06F15/16 ,  H04L65/70 ,  H04L65/75 ,  H04L65/80 ,  H04L67/02 ,  H04L67/1023 ,  H04L67/1008 ,  H04L67/63

    CPC分类号： H04L67/02 ,  H04L65/70 ,  H04L65/764 ,  H04L65/80 ,  H04L67/1023 ,  H04L67/1008 ,  H04L67/63

    摘要： A method of delivering a media stream in a network having first and second media servers each capable of delivering segmented media content to a requesting media client. The network provides for HTTP-based delivery of segmented media, and the media client is supported on a client-side device. The method begins by associating the media client with the first media server. As the first server receives from the media client request for media content segments, request times for a given number of the most-recent segments requested are used to generate a prediction, by the first server, of when the media client has transitioned from a start-up or buffering state, to a steady state. In response to a new segment request being received, and upon the first server predicting that the media client has completed a transition to steady state, the new segment request is redirected to the second media server.

    Distributed task offloading and computing resources management method based on energy harvesting
    9.
    发明授权
    Distributed task offloading and computing resources management method based on energy harvesting 有权

    公开(公告)号：US11956307B1

    公开(公告)日：2024-04-09

    申请号：US17909374

    申请日：2021-11-04

    申请人： CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

    发明人： Yun Li ,  Zhixiu Yao ,  Shichao Xia ,  Guangfu Wu

    IPC分类号： H04L67/1023

    CPC分类号： H04L67/1023

    摘要： A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation strategy.