METHODS AND SYSTEMS FOR FILTERING COLLECTED QOS DATA FOR PREDICTING AN EXPECTED RANGE FOR FUTURE QOS DATA
    2.
    发明申请
    METHODS AND SYSTEMS FOR FILTERING COLLECTED QOS DATA FOR PREDICTING AN EXPECTED RANGE FOR FUTURE QOS DATA 有权
    用于过滤收集的QOS数据的方法和系统,用于预测未来QOS数据的预期范围

    公开(公告)号:US20160259742A1

    公开(公告)日:2016-09-08

    申请号:US14638220

    申请日:2015-03-04

    Applicant: NETAPP, INC.

    Abstract: Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system are provided. A performance manager collects QOS data for a storage volume from among the plurality of storage volumes and the QOS data includes a response time in which the storage volume responds to an input/output (I/O) request; determines that the collected QOS data is noisy by comparing an average number of I/O requests processed within a time duration for the storage volume with a first threshold value; uses comparable QOS data of another storage volume for generating an expected range for future QOS data; and monitors QOS data for the storage volume for determining whether a current QOS data for the storage volume is within the expected range.

    Abstract translation: 提供了用于从存储系统的存储操作系统监测多个存储卷的服务质量(QOS)数据的方法和系统。 性能管理器从多个存储卷中收集存储卷的QOS数据,并且QOS数据包括存储卷响应于输入/输出(I / O)请求的响应时间; 通过将在存储卷的持续时间内处理的平均I / O请求数与第一阈值进行比较来确定所收集的QOS数据是嘈杂的; 使用另一个存储卷的可比较的QOS数据来产生未来QOS数据的预期范围; 并监视存储卷的QOS数据,以确定存储卷的当前QOS数据是否在预期范围内。

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