METHODS AND SYSTEMS FOR DETERMINING PERFORMANCE CAPACITY OF A RESOURCE OF A NETWORKED STORAGE ENVIRONMENT

    公开(公告)号:US20180183698A1

    公开(公告)日:2018-06-28

    申请号:US15896363

    申请日:2018-02-14

    Applicant: NETAPP, INC.

    CPC classification number: H04L43/0888 H04L43/028 H04L43/0852

    Abstract: Methods and systems for a networked storage system are provided. One method includes filtering performance data associated with a resource used in a networked storage environment for reading and writing data at a storage device; and determining available performance capacity of the resource using the filtered performance data. The available performance capacity is based on optimum utilization of the resource and actual utilization of the resource, where utilization of the resource is an indicator of an extent the resource is being used at any given time, the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency and latency is an indicator of delay at the resource in processing the workload.

    Methods and systems using model based techniques for determining performance capacity of a resource of a networked storage environment
    23.
    发明授权
    Methods and systems using model based techniques for determining performance capacity of a resource of a networked storage environment 有权
    使用基于模型的技术来确定网络存储环境的资源的性能容量的方法和系统

    公开(公告)号:US09465548B1

    公开(公告)日:2016-10-11

    申请号:US14805851

    申请日:2015-07-22

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for managing resources in a networked storage environment are provided. One method includes using a queuing model for a resource that processes a plurality of requests at a networked storage environment for predicting a relationship between latency and utilization of the resource. The queueing model uses inter-arrival time and service time to determine latency, where inter-arrival time is a duration that tracks when requests arrive at the resource and the service time tracks a duration for servicing the requests by the resource. The method further includes identifying optimum utilization of the resource using the predicted relationship between latency and utilization, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency; and determining available performance capacity for the resource using the optimum utilization and actual utilization of the resource.

    Abstract translation: 提供了用于管理网络存储环境中的资源的方法和系统。 一种方法包括对处理在网络存储环境中的多个请求的资源使用排队模型来预测资源的延迟和利用之间的关系。 排队模型使用到达之间的时间和服务时间来确定延迟,其中到达之间的时间是在请求到达资源时跟踪的持续时间,并且服务时间跟踪资源对服务请求的持续时间。 该方法还包括使用延迟和利用之间的预测关系来识别资源的最佳利用率,其中最佳利用是资源利用的指标,超过该资源使用的工作负载的吞吐量增益小于延迟的增加; 并且使用资源的最佳利用和实际利用来确定资源的可用性能容量。

    METHODS AND SYSTEMS FOR MANAGING A RESOURCE IN A NETWORKED STORAGE ENVIRONMENT

    公开(公告)号:US20240039996A1

    公开(公告)日:2024-02-01

    申请号:US18487345

    申请日:2023-10-16

    Applicant: NetApp Inc.

    CPC classification number: H04L67/1097

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    METHODS AND SYSTEMS FOR MANAGING A RESOURCE IN A NETWORKED STORAGE ENVIRONMENT

    公开(公告)号:US20220239742A1

    公开(公告)日:2022-07-28

    申请号:US17671270

    申请日:2022-02-14

    Applicant: NetApp Inc.

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    Methods and systems for managing a resource in a networked storage environment

    公开(公告)号:US11252231B2

    公开(公告)日:2022-02-15

    申请号:US16460101

    申请日:2019-07-02

    Applicant: NetApp Inc.

    Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

    TECHNIQUES FOR ESTIMATING ABILITY OF NODES TO SUPPORT HIGH AVAILABILITY FUNCTIONALITY IN A STORAGE CLUSTER SYSTEM

    公开(公告)号:US20170220433A1

    公开(公告)日:2017-08-03

    申请号:US15141357

    申请日:2016-04-28

    Applicant: NETAPP, INC.

    CPC classification number: G06F11/008 G06F11/2035 G06F11/2048

    Abstract: Various embodiments are generally directed to techniques for determining whether one node of a HA group is able to take over for another. An apparatus includes a model derivation component to derive a model correlating node usage level to node data propagation latency through and to node resource utilization from a first model of a first node of a storage cluster system and a second model of a second node of the storage cluster system, the first model based on a first usage level of the first node under a first usage type, and the second model based on a second usage level of the second node under a second usage type; and an analysis component to determine whether the first node is able to take over for the second node based on applying to the derived model a total usage level derived from the first and second usage levels.

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