公开(公告)号：US20150199136A1

公开(公告)日：2015-07-16

申请号：US14535565

申请日：2014-11-07

Applicant: NETAPP, Inc.

Inventor： Kevin Faulkner ,  Leon Fairbanks ,  Siu Wu ,  Vinod Vasant Pai ,  Curtis Hrischuk

IPC: G06F3/06

CPC classification number: G06F3/0611 ,  G06F3/0653 ,  G06F3/067 ,  G06F3/0689 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3419 ,  G06F11/3442 ,  G06F11/3485 ,  G06F2003/0692 ,  G06F2201/81 ,  G06F2201/875 ,  G06F2201/88

Abstract: Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes are provided. QOS data is collected for the plurality of storage volumes and includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. An expected range for future QOS data based on the collected QOS data is generated. The process then determines a deviation of each potential bully storage volume of a resource used by any victim storage volume, where the deviation of each bully storage volume is based on a number of current I/O requests (IOPS) that are processed by each potential bully storage volume, a forecasted value of TOPS and a predicted upper threshold TOPS value for each potential bully storage volume; and filters the potential bully storage volumes based on an impact of each potential bully storage volume.

Abstract translation: 提供了用于监视多个存储卷的服务质量（QOS）数据的方法和系统。 针对多个存储卷收集QOS数据，并且包括其中多个存储卷中的每一个对输入/输出（I / O）请求做出响应的响应时间。 生成基于收集的QOS数据的未来QOS数据的预期范围。 然后，该过程确定任何受害者存储卷使用的资源的每个潜在恶霸存储卷的偏差，其中每个欺负存储卷的偏差基于由每个潜在的处理的当前I / O请求（IOPS）的数量 恶霸存储量，TOPS的预测值和每个潜在恶霸存储量的预测上限阈值TOPS值; 并根据每个潜在的恶霸存储卷的影响来过滤潜在的恶霸存储卷。