公开(公告)号：US20160170794A1

公开(公告)日：2016-06-16

申请号：US15048907

申请日：2016-02-19

Applicant: NetApp, Inc.

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

IPC: G06F9/455 ,  G06F9/50 ,  H04L29/08

CPC classification number: G06F9/45558 ,  G06F9/5016 ,  G06F9/5077 ,  G06F9/5083 ,  G06F11/073 ,  G06F11/3409 ,  G06F12/0806 ,  G06F2009/4557 ,  G06F2009/45583 ,  G06F2009/45595 ,  H04L41/0816 ,  H04L41/0896 ,  H04L67/2842

Abstract: It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. A candidate solution is identifier. An estimated impact of a residual workload is determined based, at least in part, on the candidate solution. A level of caching of at least one of the first workload or the second workload is adjusted based, at least in part, on the estimated impact of the residual workload.

Abstract translation: 检测到与第一工作负荷相关联的度量已经违反了第一阈值。 确定第一工作负载和第二工作负载访问相同的存储资源，其中存储资源与存储服务器相关联。 确定该度量受到第一工作负载的影响，并且第二工作负载访问相同的存储资源。 候选解决方案是标识符。 至少部分地基于候选解决方案确定剩余工作量的估计影响。 至少部分地基于剩余工作量的估计影响来调整至少一个第一工作负载或第二工作负载的高速缓存。

公开(公告)号：US20150046654A1

公开(公告)日：2015-02-12

申请号：US14523655

申请日：2014-10-24

Applicant: NetApp, Inc.

Inventor： Gokul Soundararajan ,  Kaladhar Voruganti ,  Lakshmi Narayanan Bairavasunda ,  Priya Sehgal ,  Vipul Mathur

IPC: G06F12/08

CPC classification number: G06F12/0811 ,  G06F12/0813 ,  G06F12/0888 ,  G06F2212/2515 ,  G06F2212/284 ,  G06F2212/301 ,  G06F2212/601

Abstract: A change in workload characteristics detected at one tier of a multi-tiered cache is communicated to another tier of the multi-tiered cache. Multiple caching elements exist at different tiers, and at least one tier includes a cache element that is dynamically resizable. The communicated change in workload characteristics causes the receiving tier to adjust at least one aspect of cache performance in the multi-tiered cache. In one aspect, at least one dynamically resizable element in the multi-tiered cache is resized responsive to the change in workload characteristics.

Abstract translation: 在多层缓存的一层检测到的工作负载特性的改变被传送到多层高速缓存的另一层。 多个缓存元素存在于不同的层，并且至少一个层包括可动态调整大小的高速缓存元素。 所传达的工作负载特性的改变使得接收层在多层缓存中调整缓存性能的至少一个方面。 在一个方面，响应于工作负载特性的变化来调整多层缓存中的至少一个可动态调整大小的元素。

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：US20140223014A1

公开(公告)日：2014-08-07

申请号：US14087372

申请日：2013-11-22

Applicant: NetApp, Inc.

Inventor： Lakshmi Narayanan Bairavasundaram ,  Gokul Soundararajan ,  Vipul Mathur ,  Kaladhar Voruganti ,  Darren Sawyer

IPC: H04L29/08

CPC classification number: H04L67/1023 ,  G06F3/0605 ,  G06F3/0683 ,  G06F9/5011 ,  G06F11/2094 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3495 ,  G06F2201/81 ,  H04L41/5009 ,  H04L49/505 ,  H04L67/1097 ,  H04L69/40 ,  H04L2012/5631 ,  H04L2012/5636

Abstract: Collaborative management of shared resources is implemented by a storage server receiving, from a first resource manager, notification of a violation for a service provided by the storage server or device coupled to the storage server. The storage server further receives, from each of a plurality of resource managers, an estimated cost of taking a corrective action to mitigate the violation and selects a corrective action proposed by one of the plurality of resource managers based upon the estimated cost. The storage server directs the resource manager that proposed the selected corrective action to perform the selected corrective action.

Abstract translation: 共享资源的协同管理由存储服务器实现，存储服务器从第一资源管理器接收由与存储服务器耦合的存储服务器或设备提供的服务的违规的通知。 存储服务器还从多个资源管理器中的每一个进一步接收采取纠正措施以减轻违规的估计成本，并且基于估计的成本选择由多个资源管理者之一提出的纠正措施。 存储服务器指示提出所选修正操作的资源管理器执行所选的纠正措施。