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    Time series metric data modeling and prediction
    123.
    发明授权
    Time series metric data modeling and prediction 有权
    时间序列量度数据建模与预测

    公开(公告)号：US09323599B1

    公开(公告)日：2016-04-26

    申请号：US14814815

    申请日：2015-07-31

    Applicant: AppDynamics, Inc.

    Inventor： Arjun Iyer ,  Yuchen Zhao

    IPC: G06F11/00 ,  G06F11/07

    CPC classification number: G06F11/079 ,  G06F9/45508 ,  G06F11/0706 ,  G06F11/0751 ,  G06F11/30 ,  G06F11/3452 ,  G06F2201/81 ,  G06F2201/875 ,  G06N7/005

    Abstract: A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.

    Abstract translation: 利用多个时间序列度量数据来更精确地检测异常并建模和预测度量值的系统。 处理时间序列量度数据流以生成一组独立度量。 在某些情况下，本系统可以自动分析数千个实时流。 高级机器学习和统计技术用于通过学习潜在和隐藏的度量标准，从独立度量中自动找出异常值和异常值。 还可以分析每个度量的趋势，并且可以了解每个特征的趋势。 该系统可以自动检测包括每周，每日，假期和其他应用程序特定模式的潜在和隐藏的度量模式。 异常检测对维护系统健康至关重要，预测值对客户来说是重要的，以原则和定量的方式监控和制定规划和决策。

    Monitoring vector lane duty cycle for dynamic optimization
    124.
    发明授权
    Monitoring vector lane duty cycle for dynamic optimization 有权
    监控矢量车道占空比进行动态优化

    公开(公告)号：US09323525B2

    公开(公告)日：2016-04-26

    申请号：US14190404

    申请日：2014-02-26

    Applicant: Intel Corporation

    Inventor： Daehyun Kim ,  Jong Soo Park ,  Dong Hyuk Woo ,  Richard M. Yoo ,  Christopher J. Hughes

    IPC: G06F9/30 ,  G06F11/34 ,  G06F11/30

    CPC classification number: G06F9/30036 ,  G06F9/30189 ,  G06F9/3887 ,  G06F11/3024 ,  G06F11/3409 ,  G06F11/348 ,  G06F2201/81 ,  G06F2201/88 ,  Y02D10/34

    Abstract: In an embodiment, a processor includes a vector execution unit having a plurality of lanes to execute operations on vector operands, a performance monitor coupled to the vector execution unit to maintain information regarding an activity level of the lanes, and a control logic coupled to the performance monitor to control power consumption of the vector execution unit based at least in part on the activity level of at least some of the lanes. Other embodiments are described and claimed.

    Abstract translation: 在一个实施例中，处理器包括具有多个通道以执行向量操作数的操作的向量执行单元，耦合到向量执行单元的性能监视器，以维护关于通道的活动级别的信息，以及耦合到该通道的控制逻辑 性能监视器，用于至少部分地基于至少一些通道的活动水平来控制向量执行单元的功率消耗。 描述和要求保护其他实施例。

    PROPOSED STORAGE SYSTEM SOLUTION SELECTION FOR SERVICE LEVEL OBJECTIVE MANAGEMENT
    125.
    发明申请
    PROPOSED STORAGE SYSTEM SOLUTION SELECTION FOR SERVICE LEVEL OBJECTIVE MANAGEMENT 有权
    建议存储系统解决方案选择服务水平目标管理

    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。

    Storage system and data management method
    127.
    发明授权
    Storage system and data management method 有权
    存储系统和数据管理方法

    公开(公告)号：US09317381B2

    公开(公告)日：2016-04-19

    申请号：US13702195

    申请日：2012-11-20

    Applicant: Hitachi, Ltd.

    Inventor： Tomohiko Suzuki ,  Keiichi Tezuka ,  Tetsuya Abe

    IPC: G06F11/00 ,  G06F11/20 ,  G06F11/16 ,  G06F11/34 ,  G06F11/14 ,  H04L29/08

    CPC classification number: G06F11/203 ,  G06F11/1451 ,  G06F11/1464 ,  G06F11/1662 ,  G06F11/2025 ,  G06F11/2028 ,  G06F11/2035 ,  G06F11/2048 ,  G06F11/2097 ,  G06F11/3433 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/84 ,  H04L67/1095

    Abstract: An efficient disaster recovery system is constructed at three data centers. A data center includes: a business server for executing an application in response to an input/output request; a storage system for providing a first storage area storing data in response to a request from the business server; and a management server for managing a second data center or a third data center among the plurality of data centers as a failover location when a system of a first data center having the first storage area stops; and wherein the management server: copies all pieces of data stored in the first storage area to a second storage area managed by a storage system of the second data center; and copies part of the data stored in the first storage area to a third storage area managed by a storage system of the third data center.

    Abstract translation: 在三个数据中心建立了一个高效的灾难恢复系统。 数据中心包括：业务服务器，用于响应于输入/输出请求执行应用; 存储系统，用于响应于来自商业服务器的请求，提供存储数据的第一存储区域; 以及管理服务器，用于当具有所述第一存储区域的第一数据中心的系统停止时，将所述多个数据中心中的第二数据中心或第三数据中心管理为故障切换位置; 并且其中所述管理服务器：将存储在所述第一存储区域中的所有数据复制到由所述第二数据中心的存储系统管理的第二存储区域; 并将存储在第一存储区域中的数据的一部分复制到由第三数据中心的存储系统管理的第三存储区域。

    Snapshots in a hybrid storage device comprising a magnetic disk and a solid state disk
    128.
    发明授权
    Snapshots in a hybrid storage device comprising a magnetic disk and a solid state disk 有权
    在包括磁盘和固态盘的混合存储设备中的快照

    公开(公告)号：US09317373B2

    公开(公告)日：2016-04-19

    申请号：US14535226

    申请日：2014-11-06

    Applicant: International Business Machines Corporation

    Inventor： Zhen X. Han ,  Scott R. Murray ,  Yi Tong ,  Rong Zhang ,  Xiao Q. Zhang

    IPC: G06F3/06 ,  G06F11/14 ,  G06F17/30 ,  G06F12/16 ,  G06F11/34

    CPC classification number: G06F11/1435 ,  G06F3/0617 ,  G06F3/0619 ,  G06F3/065 ,  G06F3/068 ,  G06F3/0685 ,  G06F11/1451 ,  G06F11/3485 ,  G06F12/16 ,  G06F17/30088 ,  G06F2003/0692 ,  G06F2003/0697 ,  G06F2201/81 ,  G06F2201/84

    Abstract: One or more snapshots of data stored over a period of time are maintained in a hybrid storage device comprising a magnetic disk and a solid state disk, wherein a selected snapshot stores information that allows recovery of data that is stored in the hybrid storage device at a selected point in time of the period of time. The hybrid storage device receives an input/output (I/O) command from a computational device. A category of a plurality of categories to which the I/O command belongs is determined, wherein the plurality of categories comprise writing to an unused block, writing to a used block, reading from an unused block, and reading from a used block. In response to determining the category to which the I/O command belongs, the I/O command is handled by one of the magnetic disk and the solid state disk based on the determined category.

    Abstract translation: 在一段时间内存储的数据的一个或多个快照被保存在包括磁盘和固态盘的混合存储设备中，其中所选择的快照存储允许以一种方式恢复存储在混合存储设备中的数据的信息 选定的时间点。 混合存储装置从计算装置接收输入/输出（I / O）命令。 确定I / O命令所属的多个类别的类别，其中，多个类别包括写入未使用的块，写入使用的块，从未使用的块读取和从使用的块读取。 响应于确定I / O命令所属的类别，I / O命令基于所确定的类别由磁盘和固态盘中的一个来处理。

    Adaptive asynchronous data replication in a data storage system
    129.
    发明授权
    Adaptive asynchronous data replication in a data storage system 有权
    数据存储系统中的自适应异步数据复制

    公开(公告)号：US09313270B2

    公开(公告)日：2016-04-12

    申请号：US14446161

    申请日：2014-07-29

    Applicant: DataDirect Networks, Inc.

    Inventor： Rajkumar Joshi

    IPC: G06F11/00 ,  H04L29/08 ,  G06F11/14 ,  G06F3/06 ,  G06F17/30

    CPC classification number: H04L67/1095 ,  G06F3/065 ,  G06F11/1458 ,  G06F11/2066 ,  G06F11/2069 ,  G06F11/2071 ,  G06F11/2082 ,  G06F11/3419 ,  G06F11/3452 ,  G06F11/3485 ,  G06F17/30575 ,  G06F17/30578 ,  G06F2201/81 ,  H04L67/1097 ,  Y10S707/99953

    Abstract: Systems and methods for adaptive asynchronous data replication in a data storage system are described herein. The data storage system includes a plurality of zones each having a plurality of storage nodes, each having a plurality of storage devices. The system provides for replication according to policies associated with data items such that data items are stored among a plurality of zones. The data items are stored as one or more objects and may be replicated asynchronously or synchronously. The system adapts the synchronicity of the replication based on a combination of criteria including a put performance threshold, a backlog threshold, latency and the current synchronicity status. By automatically adjusting the replication synchronicity, the system and methods achieve improved performance while maintaining data resiliency.

    Abstract translation: 本文描述了数据存储系统中的自适应异步数据复制的系统和方法。 数据存储系统包括多个区域，每个区域具有多个存储节点，每个存储节点具有多个存储设备。 该系统根据与数据项相关联的策略提供复制，使得数据项存储在多个区域中。 数据项被存储为一个或多个对象，并且可以被异步地或同步地复制。 该系统基于包括放置性能阈值，积压阈值，等待时间和当前同步状态的标准的组合来适应复制的同步性。 通过自动调整复制同步性，系统和方法在保持数据恢复能力的同时实现了改进的性能。

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