Adaptive Resource Management
    1.
    发明申请
    Adaptive Resource Management 审中-公开
    自适应资源管理

    公开(公告)号:US20150312169A1

    公开(公告)日:2015-10-29

    申请号:US14794228

    申请日:2015-07-08

    Abstract: Allocation of resources across multiple consumers allows efficient utilization of shared resources. Observed usages of resources by consumers over time intervals are used to determine a total throughput of resources by the consumers. The total throughput of resources is used to determine allocation of resources for a subsequent time interval. The consumers are associated with priorities used to determine their allocations. Minimum and maximum resource guarantees may be associated with consumers. The resource allocation aims to allocate resources based on the priorities of the consumers while aiming to avoid starvation by any consumer. The resource allocation allows efficient usage of network resources in a database storage system storing multiple virtual databases.

    Abstract translation: 跨多个消费者分配资源可以有效利用共享资源。 消费者随时间间隔观察资源的用途,用于确定消费者的资源总量。 资源的总吞吐量用于确定后续时间间隔内资源的分配。 消费者与确定其分配的优先级相关联。 最低和最高的资源保证可能与消费者有关。 资源分配旨在根据消费者的优先事项分配资源,同时旨在避免任何消费者的饥饿。 资源分配允许在存储多个虚拟数据库的数据库存储系统中有效地使用网络资源。

    Adaptive resource allocation based upon observed historical usage

    公开(公告)号:US10333863B2

    公开(公告)日:2019-06-25

    申请号:US14794228

    申请日:2015-07-08

    Abstract: Allocation of resources across multiple consumers allows efficient utilization of shared resources. Observed usages of resources by consumers over time intervals are used to determine a total throughput of resources by the consumers. The total throughput of resources is used to determine allocation of resources for a subsequent time interval. The consumers are associated with priorities used to determine their allocations. Minimum and maximum resource guarantees may be associated with consumers. The resource allocation aims to allocate resources based on the priorities of the consumers while aiming to avoid starvation by any consumer. The resource allocation allows efficient usage of network resources in a database storage system storing multiple virtual databases.

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