INFRASTRUCTURE AWARE QUERY OPTIMIZATION
    1.
    发明申请

    公开(公告)号:US20180025052A1

    公开(公告)日:2018-01-25

    申请号:US15216228

    申请日:2016-07-21

    CPC classification number: G06F16/2453 G06F16/2455

    Abstract: Disclosed are systems, methods, and computer-readable storage media for infrastructure aware query optimization. A query optimizer can receive a first query for a first set of requested data and determine a set of computing nodes in a network that can provide the first set of requested data. The query optimizer can then request, from an infra monitor, health scores for the set of computing nodes that can provide the first set of requested data. The infra monitor can receive infrastructure data from the network. The query optimizer can select, based on the health scores, a subset of computing nodes from the set of computing nodes to service the first query, and request the first set of requested data from the subset of computing nodes.

    Infrastructure aware adaptive resource allocation

    公开(公告)号:US11057387B2

    公开(公告)日:2021-07-06

    申请号:US16572337

    申请日:2019-09-16

    Abstract: Disclosed are systems, methods, and computer-readable storage media for infrastructure aware adaptive resource allocation. A resource manager can receive a request to allocate a first container instance in a network. The resource manager can determine a set of candidate computing nodes in the network that are capable of hosting the first container instance and request, from an infrastructure monitor that received infrastructure data from the network, health metrics for the set of candidate computing nodes. The resource manager can select, based on the health metrics for the set of candidate computing nodes, an optimal computing node to host the first container instance, and allocate the first container instance on the optimal computing node.

    INFRASTRUCTURE AWARE ADAPTIVE RESOURCE ALLOCATION

    公开(公告)号:US20200014698A1

    公开(公告)日:2020-01-09

    申请号:US16572337

    申请日:2019-09-16

    Abstract: Disclosed are systems, methods, and computer-readable storage media for infrastructure aware adaptive resource allocation. A resource manager can receive a request to allocate a first container instance in a network. The resource manager can determine a set of candidate computing nodes in the network that are capable of hosting the first container instance and request, from an infrastructure monitor that received infrastructure data from the network, health metrics for the set of candidate computing nodes. The resource manager can select, based on the health metrics for the set of candidate computing nodes, an optimal computing node to host the first container instance, and allocate the first container instance on the optimal computing node.

    Infrastructure aware adaptive resource allocation

    公开(公告)号:US10432638B2

    公开(公告)日:2019-10-01

    申请号:US15250867

    申请日:2016-08-29

    Abstract: Disclosed are systems, methods, and computer-readable storage media for infrastructure aware adaptive resource allocation. A resource manager can receive a request to allocate a first container instance in a network. The resource manager can determine a set of candidate computing nodes in the network that are capable of hosting the first container instance and request, from an infrastructure monitor that received infrastructure data from the network, health metrics for the set of candidate computing nodes. The resource manager can select, based on the health metrics for the set of candidate computing nodes, an optimal computing node to host the first container instance, and allocate the first container instance on the optimal computing node.

    NEXT GENERATION STORAGE CONTROLLER IN HYBRID ENVIRONMENTS

    公开(公告)号:US20190163371A1

    公开(公告)日:2019-05-30

    申请号:US15826801

    申请日:2017-11-30

    Abstract: A system can manage storage and access of data blocks in a hybrid environment. In one example, a system can identify a plurality of data block replicas distributed across sites, the plurality of data block replicas corresponding to respective blocks of data. The system can monitor events associated with the plurality of data block replicas and, based on the events, generate respective status and access data for the plurality of data block replicas. Based on the respective status and access data, the system can determine that one or more data block replicas associated with a block of data have reached a threshold. In response to the one or more data block replicas reaching the threshold, the system can modify a replica distribution across the sites for the block of data.

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