公开(公告)号：US20140143282A1

公开(公告)日：2014-05-22

申请号：US13936851

申请日：2013-07-08

Applicant: NetApp, Inc.

Inventor： Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti

IPC: G06F17/30

CPC classification number: G06F17/30312 ,  G06F8/10 ,  G06F9/00 ,  G06F17/30

Abstract: Graph transformations are used by a data management system to correct violations of service-level objectives (SLOs) in a data center. In one aspect, a process is provided to manage a data center by receiving an indication of a violation of a service-level objective associated with the data center from a server in the data center. A graph representation and a transformations data container are retrieved by the data management system from data storage accessible to the data management system. The transformations data container includes one or more transformations. The transformation is processed to create a mutated graph from a data center representation from the graph representation. An option for managing the data center is determined as a result of evaluating the mutated graphs.

Abstract translation: 数据管理系统使用图形转换来纠正数据中心中服务级目标（SLO）的违规。 在一个方面，提供了一种通过从数据中心中的服务器接收与数据中心相关联的服务级别目标的违规的指示来管理数据中心的过程。 数据管理系统从数据管理系统可访问的数据存储中检索图表表示和转换数据容器。 变换数据容器包括一个或多个变换。 处理变换以从图表表示从数据中心表示创建突变图。 通过评估突变图来确定用于管理数据中心的选项。

公开(公告)号：US08892607B2

公开(公告)日：2014-11-18

申请号：US13936851

申请日：2013-07-08

Applicant: NetApp, Inc.

Inventor： Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti

IPC: G06F17/30 ,  G06F9/00

CPC classification number: G06F17/30312 ,  G06F8/10 ,  G06F9/00 ,  G06F17/30

Abstract: Graph transformations are used by a data management system to correct violations of service-level objectives (SLOs) in a data center. In one aspect, a process is provided to manage a data center by receiving an indication of a violation of a service-level objective associated with the data center from a server in the data center. A graph representation and a transformations data container are retrieved by the data management system from data storage accessible to the data management system. The transformations data container includes one or more transformations. The transformation is processed to create a mutated graph from a data center representation from the graph representation. An option for managing the data center is determined as a result of evaluating the mutated graphs.

Abstract translation: 数据管理系统使用图形转换来纠正数据中心中服务级目标（SLO）的违规。 在一个方面，提供了一种通过从数据中心中的服务器接收与数据中心相关联的服务级别目标的违规的指示来管理数据中心的过程。 数据管理系统从数据管理系统可访问的数据存储中检索图表表示和转换数据容器。 变换数据容器包括一个或多个变换。 处理变换以从图表表示从数据中心表示创建突变图。 通过评估突变图来确定用于管理数据中心的选项。

公开(公告)号：US09635101B2

公开(公告)日：2017-04-25

申请号：US14981730

申请日：2015-12-28

Applicant: NetApp, Inc.

Inventor： Vipul Mathur ,  Neeraja Yadwadkar ,  Lakshmi Narayanan Bairavasundaram ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti ,  Sai Rama Krishna Susaria

IPC: H04L29/08 ,  H04L29/06 ,  H04L12/54 ,  G06F9/46 ,  H04L12/24 ,  G06F11/34 ,  G06F11/30

CPC classification number: H04L67/1008 ,  G06F9/465 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3447 ,  G06F11/3485 ,  G06F2201/81 ,  G06F2201/86 ,  H04L12/54 ,  H04L29/06 ,  H04L41/5009 ,  H04L47/70 ,  H04L67/1097 ,  Y02D10/34

Abstract: Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.

公开(公告)号：US20140380332A1

公开(公告)日：2014-12-25

申请号：US14484780

申请日：2014-09-12

Applicant: NETAPP, INC.

Inventor： Vipul Mathur ,  Neeraja Yadwadkar ,  Lakshmi Narayanan Bairavasundaram ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti ,  Sai Rama Krishna Susaria

IPC: G06F9/46

CPC classification number: H04L67/1008 ,  G06F9/465 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3447 ,  G06F11/3485 ,  G06F2201/81 ,  G06F2201/86 ,  H04L12/54 ,  H04L29/06 ,  H04L41/5009 ,  H04L47/70 ,  H04L67/1097 ,  Y02D10/34

Abstract: Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.

Abstract translation: 这里描述了用于动态管理用于集群存储系统的工作负载的服务级目标（SLO）的系统和方法。 可以生成和评估集群的建议状态/解决方案，以选择为每个工作负载实现SLO的状态/解决方案。 计划器引擎可以产生包括节点的状态树，每个节点表示提出的状态/解。 可以基于允许的新解决方案类型将新节点添加到状态树，或者可以基于接收到的时间约束来移除节点，以执行解决方案或解决方案的客户端认证。 计划器引擎可以调用评估引擎来评估提出的状态，评估引擎使用考虑SLO，成本和优化目标特征的评估函数，以产生每个建议状态的单个评估值。 计划器引擎可以调用使用机器学习技术训练的建模者引擎。

公开(公告)号：US10474519B2

公开(公告)日：2019-11-12

申请号：US14857346

申请日：2015-09-17

Applicant: NetApp, Inc.

Inventor： Rukma Ameet Talwadker ,  Ross Ackerman

IPC: G06F11/07 ,  H04L12/24

Abstract: A method and system for server fault analysis are described. A server configuration analyzer retrieves event logs collected from a server with a fault such as a misconfiguration. These event logs can then be analyzed using metrics to identify one or more messages in the logs that indicate a cause of the fault on the server. Once the messages are identified, the server configuration analyzer retrieves remedial commands that may be used to correct the fault from a database that stores remedial commands correlated with event log messages. The server configuration analyzer can then present the messages and remedial commands to a user to assist with identifying the cause of the fault and correcting it.

公开(公告)号：US20170083390A1

公开(公告)日：2017-03-23

申请号：US14857346

申请日：2015-09-17

Applicant: NetApp, Inc.

Inventor： Rukma Ameet Talwadker ,  Ross Ackerman

IPC: G06F11/07

CPC classification number: G06F11/079 ,  G06F11/0748 ,  G06F11/0772 ,  G06F11/0778 ,  G06F11/0793 ,  H04L41/0645 ,  H04L41/069

Abstract: A method and system for server fault analysis are described. A server configuration analyzer retrieves event logs collected from a server with a fault such as a misconfiguration. These event logs can then be analyzed using metrics to identify one or more messages in the logs that indicate a cause of the fault on the server. Once the messages are identified, the server configuration analyzer retrieves remedial commands that may be used to correct the fault from a database that stores remedial commands correlated with event log messages. The server configuration analyzer can then present the messages and remedial commands to a user to assist with identifying the cause of the fault and correcting it.

公开(公告)号：US20160112504A1

公开(公告)日：2016-04-21

申请号：US14981730

申请日：2015-12-28

Applicant: NetApp, Inc.

Inventor： Vipul Mathur ,  Neeraja Yadwadkar ,  Lakshmi Narayanan Bairavasundaram ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti ,  Sai Rama Krishna Susaria

IPC: H04L29/08 ,  H04L12/24

CPC classification number: H04L67/1008 ,  G06F9/465 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3447 ,  G06F11/3485 ,  G06F2201/81 ,  G06F2201/86 ,  H04L12/54 ,  H04L29/06 ,  H04L41/5009 ,  H04L47/70 ,  H04L67/1097 ,  Y02D10/34

Abstract: Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.

Abstract translation: 这里描述了用于动态管理用于集群存储系统的工作负载的服务级目标（SLO）的系统和方法。 可以生成和评估集群的建议状态/解决方案，以选择为每个工作负载实现SLO的状态/解决方案。 计划器引擎可以产生包括节点的状态树，每个节点表示提出的状态/解。 可以基于允许的新解决方案类型将新节点添加到状态树，或者可以基于接收到的时间约束来移除节点，以执行解决方案或解决方案的客户端认证。 计划器引擎可以调用评估引擎来评估提出的状态，评估引擎使用考虑SLO，成本和优化目标特征的评估函数，以产生每个建议状态的单个评估值。 计划器引擎可以调用使用机器学习技术训练的建模者引擎。

公开(公告)号：US09223613B2

公开(公告)日：2015-12-29

申请号：US14484780

申请日：2014-09-12

Applicant: NETAPP, INC.

Inventor： Vipul Mathur ,  Neeraja Yadwadkar ,  Lakshmi Narayanan Bairavasundaram ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti ,  Sai Rama Krishna Susaria

IPC: G06F15/173 ,  G06F9/46 ,  H04L29/06 ,  H04L12/54 ,  H04L29/08 ,  H04L12/28

CPC classification number: H04L67/1008 ,  G06F9/465 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3447 ,  G06F11/3485 ,  G06F2201/81 ,  G06F2201/86 ,  H04L12/54 ,  H04L29/06 ,  H04L41/5009 ,  H04L47/70 ,  H04L67/1097 ,  Y02D10/34

Abstract: Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.

Abstract translation: 这里描述了用于动态管理用于集群存储系统的工作负载的服务级目标（SLO）的系统和方法。 可以生成和评估集群的建议状态/解决方案，以选择为每个工作负载实现SLO的状态/解决方案。 计划器引擎可以产生包括节点的状态树，每个节点表示提出的状态/解。 可以基于允许的新解决方案类型将新节点添加到状态树，或者可以基于接收到的时间约束来移除节点，以执行解决方案或解决方案的客户端认证。 计划器引擎可以调用评估引擎来评估提出的状态，评估引擎使用考虑SLO，成本和优化目标特征的评估函数，以产生每个建议状态的单个评估值。 计划器引擎可以调用使用机器学习技术训练的建模者引擎。