公开(公告)号：US09658778B2

公开(公告)日：2017-05-23

申请号：US14531246

申请日：2014-11-03

Applicant: NETAPP, INC.

Inventor： Kevin Faulkner ,  Leon Fairbanks ,  Phil Larson ,  Siu Wu ,  Vinod Vasant Pai ,  Abdul Basit ,  Curtis Hrischuk

IPC: G06F3/06

CPC classification number: G06F3/061 ,  G06F3/0617 ,  G06F3/0653 ,  G06F3/067

Abstract: Methods and systems for inter-cluster storage system monitoring and analysis are provided. The method includes monitoring a non-volatile memory delay center for a first storage cluster having a first node and a second node configured to operate as a first high availability pair, where data for a write request to write data to the first node is also written to the second node as well as to a second cluster having a third node and a fourth node, where the third node and the fourth node are also configured to operate as a second high availability pair to store the data for the write request at one or both of the third and fourth node. The non-volatile memory delay center is used to monitor and detect latency due to any delay caused by a non-volatile memory of the first node used as a write cache.

公开(公告)号：US09547445B2

公开(公告)日：2017-01-17

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。

公开(公告)号：US20150199388A1

公开(公告)日：2015-07-16

申请号：US14154992

申请日：2014-01-14

Applicant: NETAPP, INC.

Inventor： Curtis Hrischuk ,  Siu Wu ,  Leon Fairbanks ,  Kevin Faulkner

IPC: G06F17/30

CPC classification number: G06F17/30289 ,  G06F3/06 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3419 ,  G06F11/3442 ,  G06F11/3485 ,  G06F17/30306 ,  G06F2201/81 ,  G06F2201/875 ,  G06F2201/88

Abstract: Methods and systems for identifying a victim storage volume from among a plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS collected data for the plurality of storage volumes are provided. A performance manager collects the current and historical QOS data from a storage operating system of the storage system, which includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. The current and historical QOS data for the resources used by the victim storage volume are retrieved and compared with the current QOS data of each resource to an expected range based on the historical QOS data. Another storage volume is identified as a bully when its usage of a resource in contention contributes to creating the victim storage volume.

Abstract translation: 提供了基于当前服务质量（QOS）数据与基于多个存储卷的历史QOS收集数据的动态阈值的比较来从多个存储卷中识别受害者存储卷的方法和系统 。 性能管理器从存储系统的存储操作系统收集当前和历史的QOS数据，其包括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。 根据历史QOS数据，检索受害者存储卷使用的资源的当前和历史QOS数据，并将其与每个资源的当前QOS数据进行比较，达到预期范围。 当资源在争用中的使用有助于创建受害者存储卷时，另一个存储卷被识别为欺凌。

公开(公告)号：US20150199148A1

公开(公告)日：2015-07-16

申请号：US14154941

申请日：2014-01-14

Applicant: NETAPP, INC.

Inventor： Curtis Hrischuk ,  Siu Wu ,  Leon Fairbanks ,  Kevin Faulkner

IPC: G06F3/06 ,  G06F11/34

CPC classification number: G06F13/36 ,  G06F3/0605 ,  G06F3/0611 ,  G06F3/0653 ,  G06F3/067 ,  G06F11/3409 ,  G06F11/3452 ,  G06F11/3485 ,  G06F13/4221 ,  G06F2201/81 ,  G06F2201/88

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 the QOS data from the storage operating system and the QOS data 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 is generated based on the collected QOS data. The QOS data is monitored for each storage volume for determining whether a current QOS data for each 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。 性能管理器从存储操作系统收集QOS数据，并且QOS数据包括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。 基于收集的QOS数据生成未来QOS数据的预期范围。 监视每个存储卷的QOS数据，以确定每个存储卷的当前QOS数据是否在预期范围内。

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。