Architecture for centralized management of browser add-ons across multiple devices

    公开(公告)号:US09785772B1

    公开(公告)日:2017-10-10

    申请号:US14502644

    申请日:2014-09-30

    CPC classification number: G06F21/56

    Abstract: Features are disclosed for facilitating remote management of browser add-ons on multiple user computing devices from a centralized add-on management system. A browser application on the user computing devices may include an integrated application programming interface that can be remotely accessed by the add-on management system. In some embodiments, a management add-on or some other object that is separate from or otherwise not integrated with the browsing application may be used to facilitate the remote management of add-ons. Management of add-ons may include permitting and/or blocking installation and/or execution of particular add-ons on a case-by-case basis. The determination may be based on user permissions, add-on characteristics, observed execution of add-ons, and the like.

    Scheduling data access jobs based on job priority and predicted execution time using historical execution data
    14.
    发明授权
    Scheduling data access jobs based on job priority and predicted execution time using historical execution data 有权
    根据作业优先级和使用历史执行数据预测执行时间调度数据访问作业

    公开(公告)号:US09477523B1

    公开(公告)日:2016-10-25

    申请号:US13926752

    申请日:2013-06-25

    Abstract: Techniques are described for scheduling data access jobs based on a job dependency analysis. A requested primary data access job is analyzed to determine one or more preliminary data access jobs on which it depends, and an execution duration of each data access job is predicted based on historical data or other factors. A time-sensitive subset of the preliminary data access jobs is determined as the subset of those serially dependent preliminary data access jobs for which there is a minimum time difference between the total predicted execution duration and a requested target completion time. Data access jobs are scheduled with priority given to those preliminary data access jobs in the time-sensitive subset, to enable the primary data access jobs to be completed by the requested target completion times.

    Abstract translation: 描述了基于作业依赖性分析调度数据访问作业的技术。 分析所请求的主数据访问作业以确定其所依赖的一个或多个初步数据访问作业,并且基于历史数据或其他因素来预测每个数据访问作业的执行持续时间。 将初步数据访问作业的时间敏感子集确定为在总预测执行持续时间与所请求的目标完成时间之间存在最小时间差的那些串行依赖的初步数据访问作业的子集。 数据访问作业优先考虑时间敏感子集中的初步数据访问作业,以使主数据访问作业能够通过请求的目标完成时间完成。

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