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1. 发明授权

US08484249B1 Graph transformations to correct violations of service level objectives in a data center 有权
标题翻译：图表转换，以纠正数据中心违反服务水平目标
公开(公告)号：US08484249B1
公开(公告)日：2013-07-09
申请号：US13235043
申请日：2011-09-16
申请人： Gokul Soundararajan , Lakshmi Narayanan Bairavasundaram , Vipul Mathur , Rukma Ameet Talwadker , Kaladhar Voruganti
发明人： Gokul Soundararajan , Lakshmi Narayanan Bairavasundaram , Vipul Mathur , Rukma Ameet Talwadker , Kaladhar Voruganti
IPC分类号： G06F17/30
CPC分类号： G06F17/30312 , G06F8/10 , G06F9/00 , G06F17/30
摘要： 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.
摘要翻译：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。

2. 发明授权

US08856335B1 Managing service level objectives for storage workloads 有权
标题翻译：管理存储工作负载的服务级别目标
公开(公告)号：US08856335B1
公开(公告)日：2014-10-07
申请号：US13016898
申请日：2011-01-28
申请人： Neeraja Yadwadkar , Sai Rama Krishna Susarla , Kaladhar Voruganti , Rukma Ameet Talwadker , Vipul Mathur , Lakshmi Narayanan Bairavasundaram
发明人： Neeraja Yadwadkar , Sai Rama Krishna Susarla , Kaladhar Voruganti , Rukma Ameet Talwadker , Vipul Mathur , Lakshmi Narayanan Bairavasundaram
IPC分类号： G06F15/173 , H04L12/54 , H04L29/06 , G06F17/00 , G06F7/00
CPC分类号： 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
摘要： 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.
摘要翻译：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。

3. 发明授权

US09122739B1 Evaluating proposed storage solutions 有权
标题翻译：评估提出的存储解决方案
公开(公告)号：US09122739B1
公开(公告)日：2015-09-01
申请号：US13016889
申请日：2011-01-28
申请人： Neeraja Yadwadkar , Sai Rama Krishna Susarla , Kaladhar Voruganti , Rukma Ameet Talwadker , Vipul Mathur
发明人： Neeraja Yadwadkar , Sai Rama Krishna Susarla , Kaladhar Voruganti , Rukma Ameet Talwadker , Vipul Mathur
IPC分类号： G06F17/30
CPC分类号： G06F17/30587 , G06F17/30289 , G06F17/30294
摘要： 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.
摘要翻译：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。

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