Predictive model-based measurement acquisition
    1.
    发明授权
    Predictive model-based measurement acquisition 有权
    基于预测模型的测量采集

    公开(公告)号:US06678730B2

    公开(公告)日:2004-01-13

    申请号:US10109724

    申请日:2002-03-29

    IPC分类号: G06F15173

    摘要: A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time. The manager uses its model to provide tentative values of measurement variables to management applications. The agent uses its model to check its accuracy. If the model is found to be insufficiently accurate, an updated model is transmitted to the manager. The invention allows other measurement acquisition protocols to operate concurrently on the same measurement variables.

    摘要翻译: 一种用于使用预测模型进行测量采集的方法,系统和程序存储设备,其中:(a)可以提高可扩展性; (b)可容纳在断开模式下工作的设备; 和(c)使来自具有不同时间粒度的来源的数据的集成。 各种特征可以体现在软件中,并且描述了面向对象的实现。 描述了不同的实现方式,例如仅在管理器(例如,系统管理/负载平衡)或被管理系统(例如路由器管理)上实现的独立预测模型; 或者具有在管理和管理(代理)系统上运行的预测模型的并行实现(例如金融交易或系统健康监视)。 在并行模型实现中,代理构建传达给管理器系统的预测模型。 这些模型并行使用,可能长时间没有通信。 经理使用其模型为管理应用程序提供测量变量的临时值。 代理使用其模型来检查其准确性。 如果发现该模型的准确性不足,则将更新后的模型传送给经理。 本发明允许其他测量获取协议在相同的测量变量上同时运行。

    Predictive model-based measurement acquisition employing a predictive model operating on a manager system and a managed system
    2.
    发明授权
    Predictive model-based measurement acquisition employing a predictive model operating on a manager system and a managed system 失效
    使用在管理系统和受管系统上运行的预测模型的基于模型的测量采集

    公开(公告)号:US06430615B1

    公开(公告)日:2002-08-06

    申请号:US09042060

    申请日:1998-03-13

    IPC分类号: G06F15173

    摘要: A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time. The manager uses its model to provide tentative values of measurement variables to management applications. The agent uses its model to check its accuracy. If the model is found to be insufficiently accurate, an updated model is transmitted to the manager. The invention allows other measurement acquisition protocols to operate concurrently on the same measurement variables.

    摘要翻译: 一种用于使用预测模型进行测量采集的方法,系统和程序存储设备,其中:(a)可以提高可扩展性; (b)可容纳在断开模式下工作的设备; 和(c)使来自具有不同时间粒度的来源的数据的集成。 各种特征可以体现在软件中,并且描述了面向对象的实现。 描述了不同的实现方式,例如仅在管理器(例如,系统管理/负载平衡)或被管理系统(例如路由器管理)上实现的独立预测模型; 或者具有在管理和管理(代理)系统上运行的预测模型的并行实现(例如金融交易或系统健康监视)。 在并行模型实现中,代理构建传达给管理器系统的预测模型。 这些模型并行使用,可能长时间没有通信。 经理使用其模型为管理应用程序提供测量变量的临时值。 代理使用其模型来检查其准确性。 如果发现该模型的准确性不足,则将更新后的模型传送给经理。 本发明允许其他测量获取协议在相同的测量变量上同时运行。

    Method and system for embedding correlated performance measurements for distributed application performance decomposition
    4.
    发明授权
    Method and system for embedding correlated performance measurements for distributed application performance decomposition 失效
    用于嵌入分布式应用程序性能分解的相关性能测量的方法和系统

    公开(公告)号:US07720958B2

    公开(公告)日:2010-05-18

    申请号:US09875722

    申请日:2001-06-06

    IPC分类号: G06F15/173

    摘要: Techniques for use in accordance with application performance decomposition are provided which take advantage of the communications protocol used to carry a transaction between application components in a distributed computing network. Specifically, the invention extends the communications protocol by embedding data, such as timestamp and duration measurement data, in the protocol itself, rather than extending or altering the application or transaction data carried by the protocol as in existing approaches. Thus, the invention provides natural correlation of interactions of distributed application components on such transactions without modification to the application or transaction data. Because the correlation is performed in-line with the application component interactions, minimal data management overhead is required, and correlated performance decomposition is made possible in real-time for the transaction. Furthermore, subsequent processing stages of the distributed application can interpret the communications protocol to glean processing durations of previous stages in order to make decisions regarding treatment of the transaction.

    摘要翻译: 提供了根据应用性能分解使用的技术,其利用用于在分布式计算网络中的应用组件之间进行事务的通信协议。 具体地,本发明通过在协议本身中嵌入诸如时间戳和持续时间测量数据的数据来扩展通信协议,而不是如现有方法那样扩展或改变由协议携带的应用或交易数据。 因此,本发明提供了分布式应用组件在这种交易上的交互的自然相关性,而不需要修改应用或交易数据。 由于相关性是与应用程序组件交互进行的,所以需要最小的数据管理开销,并且可以实时地进行相关性能分解。 此外,分布式应用的后续处理阶段可以解释通信协议以收集先前阶段的处理持续时间,以便做出关于交易处理的决定。

    METHOD AND APPARATUS FOR ONLINE SAMPLE INTERVAL DETERMINATION
    5.
    发明申请
    METHOD AND APPARATUS FOR ONLINE SAMPLE INTERVAL DETERMINATION 失效
    在线样品间隔测定的方法和装置

    公开(公告)号:US20080263563A1

    公开(公告)日:2008-10-23

    申请号:US12165009

    申请日:2008-06-30

    IPC分类号: G06F9/50

    摘要: In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.

    摘要翻译: 在一个实施例中,将功能系统元件添加到自主管理器以启用自动在线采样间隔选择。 在另一个实施例中,用于通过连续地表征系统工作负载行为来确定采样间隔的方法包括监视系统数据并分析工作负载静止的程度。 这使得在线优化方法对系统噪声不太敏感,并且能够适应于处理不同的工作负载。 从而改进了自主优化器的有效性,从而更容易地管理广泛的系统。

    Methods and apparatus for performing adaptive and robust prediction
    6.
    发明授权
    Methods and apparatus for performing adaptive and robust prediction 失效
    用于执行自适应和鲁棒预测的方法和装置

    公开(公告)号:US07039559B2

    公开(公告)日:2006-05-02

    申请号:US10385265

    申请日:2003-03-10

    IPC分类号: G06F3/05

    CPC分类号: G06F9/5083 G06F2209/5019

    摘要: Techniques for performing adaptive and robust prediction. Prediction techniques are adaptive in that they use a minimal amount of historical data to make predictions, the amount of data being selectable. The techniques are able to learn quickly about changes in the workload traffic pattern and make predictions, based on such learning, that are useful for proactive response to workload changes. To counter the increased variability in the prediction as a result of using minimal history, robustness is improved by checking model stability at every time interval and revising the model structure as needed to meet designated stability criteria. Furthermore, the short term prediction techniques can be used in conjunction with a long term forecaster.

    摘要翻译: 用于执行自适应和鲁棒预测的技术。 预测技术是自适应的,因为它们使用最少量的历史数据进行预测,数据量可选择。 这些技术能够快速了解​​工作负载流量模式的变化,并根据此类学习进行预测,对于对工作负载变化的主动响应非常有用。 为了应对由于使用最小历史而导致的预测增加的变异性,通过在每个时间间隔检查模型稳定性并根据需要修改模型结构来改善鲁棒性以满足指定的稳定性标准。 此外,短期预测技术可以与长期预报员结合使用。

    Systems and methods for service and role-based software distribution

    公开(公告)号:US07013461B2

    公开(公告)日:2006-03-14

    申请号:US09755786

    申请日:2001-01-05

    CPC分类号: G06F8/61

    摘要: Computer-based methods and systems for performing automated distribution of a software package to one or more target machines in one or more regions of a distributed network of target machines, comprises the following steps. First, a base software package is prepared for each of the one or more regions based on at least one of: (i) policy data indicating which of the one or more regions are candidates for receiving the software package, (ii) dependency information indicating requisites for a service provided by the software package, and (iii) configuration information for each of the candidate regions. The base software package is then distributed to each of the candidate regions of the distributed network. The base software package received at each of the candidate regions is then customized based on at least one of: (i) regional distribution policies, (ii) dependency information specific to one or more roles performed by the target machines in that region, and (iii) individual target machine configuration information. Lastly, the software package customized in each of the candidate regions is distributed to at least one of the target machines in the candidate regions of the distributed network.

    System and method for on-line adaptive prediction using dynamic management of multiple sub-models
    8.
    发明授权
    System and method for on-line adaptive prediction using dynamic management of multiple sub-models 失效
    使用多个子模型的动态管理进行在线自适应预测的系统和方法

    公开(公告)号:US06937966B1

    公开(公告)日:2005-08-30

    申请号:US09591122

    申请日:2000-06-09

    IPC分类号: G06Q10/06 G06F7/60

    CPC分类号: G06Q10/06

    摘要: Predictive models are widely used for tasks in many domains. The present invention addresses the problem of prediction of non-stationary processes by dynamically managing multiple models. The system comprises a model assessor, a model adapter, a plurality of sub-models, a plurality of model combiner functions, training data that is used to estimate model parameters, and test data that is used to test for change points. Two processes are described, one for handling data updates and another that addresses prediction requests.

    摘要翻译: 预测模型广泛用于许多领域的任务。 本发明通过动态管理多个模型来解决非平稳过程的预测问题。 该系统包括模型评估者,模型适配器,多个子模型,多个模型组合器功能,用于估计模型参数的训练数据,以及用于测试变化点的测试数据。 描述两个处理过程,一个用于处理数据更新,另一个处理预测请求。

    Systems and methods for discovering mutual dependence patterns
    9.
    发明授权
    Systems and methods for discovering mutual dependence patterns 有权
    发现相互依赖模式的系统和方法

    公开(公告)号:US06829608B2

    公开(公告)日:2004-12-07

    申请号:US09918253

    申请日:2001-07-30

    IPC分类号: G06F1730

    摘要: A new form of pattern is provided, referred to as a mutual dependence pattern or m-pattern. The m-pattern captures mutual dependence among a set of items. Intuitively, the m-pattern represents a set of items that often occur together. In our experience, such m-patterns often provide great values for certain tasks, such as event correlation in event management. Further, an efficient algorithm is provided for discovering all m-patterns in data for a given minimum mutual dependence threshold. Specifically, a linear algorithm is provided for testing whether a pattern is an m-pattern. Further, a pruning algorithm is provided that prunes the search space effectively. Still further, a level-wise algorithm for mining m-patterns is provided.

    摘要翻译: 提供了一种新的图案形式,称为相互依赖模式或m模式。 m模式捕获一组项目之间的相互依赖。 直观地,m模式表示经常一起出现的一组项目。 在我们的经验中,这种m模式通常为某些任务提供很大的价值,例如事件管理中的事件相关性。 此外,提供了一种用于针对给定的最小相互依赖阈值发现数据中的所有m模式的有效算法。 具体地说,提供一种用于测试图案是否是m图案的线性算法。 此外,还提供了一种有效修剪搜索空间的修剪算法。 此外,提供了用于挖掘m图案的级别算法。

    Methods and apparatus for performance management using self-adjusting model-based policies
    10.
    发明授权
    Methods and apparatus for performance management using self-adjusting model-based policies 有权
    使用自调整模型的策略进行绩效管理的方法和装置

    公开(公告)号:US06675128B1

    公开(公告)日:2004-01-06

    申请号:US09409151

    申请日:1999-09-30

    IPC分类号: G06N700

    摘要: Methods and apparatus are described that use models of measurement variables to provide self-adjusting policies that: (a) reduce the administrative overhead of specifying thresholds and (b) provide a means for pro-active management by automatically constructing warning thresholds based on the probability of an alarm occurring within a time horizon. The invention includes components for model construction, threshold construction, policy evaluation, and action taking. Several kinds of meta policies are used in accordance with the invention to provide adaptation and pro-active management.

    摘要翻译: 描述了使用测量变量的模型来提供自调整策略的方法和装置:(a)减少指定阈值的管理开销,(b)通过基于概率自动构建警告阈值来提供主动管理的手段 在时间范围内发生的报警。 本发明包括模型构建,门槛施工,政策评估和行动采取的组成部分。 根据本发明使用几种元策略来提供适应和主动管理。