Data set capture management with forecasting
    21.
    发明授权
    Data set capture management with forecasting 有权
    数据集捕获管理与预测

    公开(公告)号:US08930314B1

    公开(公告)日:2015-01-06

    申请号:US13966910

    申请日:2013-08-14

    Abstract: A set of virtualized computing services may include multiple types of virtualized data store differentiated by characteristics such as latency, throughput, durability and cost. A sequence of captures of a data set from one data store to another may be scheduled to achieve a variety of virtualized computing service user and provider goals such as lowering a probability of data loss, lowering costs, and computing resource load leveling. Data set captures may be scheduled according to policies specifying fixed and flexible schedules and conditions including flexible scheduling windows, target capture frequencies, probability of loss targets and/or cost targets. Capture lifetimes may also be managed with capture retention policies, which may specify fixed and flexible lifetimes and conditions including cost targets. Such data set capture policies may be specified with a Web-based administrative interface to a control plane of the virtualized computing services.

    Abstract translation: 一组虚拟化计算服务可以包括通过诸如延迟,吞吐量,耐久性和成本等特征来区分的多种类型的虚拟化数据存储。 可以调度从一个数据存储器到另一个数据存储器的数据集的捕获序列,以实现各种虚拟化计算服务用户和提供者目标,例如降低数据丢失的概率,降低成本和计算资源负载均衡。 可以根据指定固定和灵活的时间表和条件的策略来调度数据集捕获,包括灵活的调度窗口,目标捕获频率,损失目标概率和/或成本目标。 捕获寿命也可以通过捕获保留策略进行管理,这可以指定固定和灵活的生命周期和条件,包括成本目标。 这样的数据集捕获策略可以使用基于Web的管理接口来指定到虚拟化计算服务的控制平面。

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