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1. 发明授权

US09875141B2 Managing pools of dynamic resources 有权
公开(公告)号：US09875141B2
公开(公告)日：2018-01-23
申请号：US12243859
申请日：2008-10-01
申请人： Joseph L. Hellerstein , Eric Lynn Eilebrecht , Vance Morrison , Paul Ringseth
发明人： Joseph L. Hellerstein , Eric Lynn Eilebrecht , Vance Morrison , Paul Ringseth
IPC分类号： G06F9/46 , G06F9/50 , G05B13/02
CPC分类号： G06F9/5061 , G05B13/0235 , G06F2209/5011
摘要： Computer systems attempt to manage resource pools of a dynamic number of similar resources and work tasks in order to optimize system performance. Work requests are received into the resource pool having a dynamic number of resources instances. An instance-throughput curve is determined that relates a number of resource instances in the resource pool to throughput of the work requests. A slope of a point on the instance-throughput curve is estimated with stochastic gradient approximation. The number of resource instances for the resource pool is selected when the estimated slope of the instance-throughput curve is zero.

2. 发明申请

US20100083272A1 MANAGING POOLS OF DYNAMIC RESOURCES 有权
标题翻译：管理动态资源池
公开(公告)号：US20100083272A1
公开(公告)日：2010-04-01
申请号：US12243859
申请日：2008-10-01
申请人： Joseph L. Hellerstein , Eric Lynn Eilebrecht , Vance Morrison , Paul Ringseth
发明人： Joseph L. Hellerstein , Eric Lynn Eilebrecht , Vance Morrison , Paul Ringseth
IPC分类号： G06F9/50
CPC分类号： G06F9/5061 , G05B13/0235 , G06F2209/5011
摘要： Computer systems attempt to manage resource pools of a dynamic number of similar resources and work tasks in order to optimize system performance. Work requests are received into the resource pool having a dynamic number of resources instances. An instance-throughput curve is determined that relates a number of resource instances in the resource pool to throughput of the work requests. A slope of a point on the instance-throughput curve is estimated with stochastic gradient approximation. The number of resource instances for the resource pool is selected when the estimated slope of the instance-throughput curve is zero.
摘要翻译：计算机系统尝试管理动态数量相似的资源和工作任务的资源池，以优化系统性能。工作请求被接收到具有动态数量的资源实例的资源池中。确定将资源池中的多个资源实例与工作请求的吞吐量相关联的实例吞吐量曲线。用随机梯度近似估计实例吞吐量曲线上的点的斜率。当实例吞吐量曲线的估计斜率为零时，选择资源池的资源实例数。

3. 发明授权

US08386995B2 Managing computing deployment in presence of variable workload 有权
标题翻译：在存在可变工作负载的情况下管理计算部署
公开(公告)号：US08386995B2
公开(公告)日：2013-02-26
申请号：US11763726
申请日：2007-06-15
申请人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
发明人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
IPC分类号： G06F9/44
CPC分类号： G06F11/008
摘要： Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
摘要翻译：用于根据不同的工作负载水平管理计算环境中的一个或多个资源的部署的自动或自主技术。自动化技术可以包括基于与计算环境相关联的数据预测未来的工作负载水平。然后，执行估计以确定当前资源部署是否不充足，足够或过度足以满足未来的工作负载水平。然后，当估计当前资源部署不足够或过度足以满足未来的工作负载级别时，会采取一个或多个动作。动作可以包括资源调配，资源调整和/或准入控制。

4. 发明授权

US07720958B2 Method and system for embedding correlated performance measurements for distributed application performance decomposition 失效
标题翻译：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
申请人： W. Nathaniel Mills, III , LeRoy A. Krueger, Jr. , Joseph L. Hellerstein , Srirama Mandyam Krishnakumar , Mark S. Squillante
发明人： W. Nathaniel Mills, III , LeRoy A. Krueger, Jr. , Joseph L. Hellerstein , Srirama Mandyam Krishnakumar , Mark S. Squillante
IPC分类号： G06F15/173
CPC分类号： G06F11/3495 , G06F2201/87 , H04L29/06 , H04L41/5009 , H04L41/5035 , H04L41/5067 , H04L67/02 , H04L69/329
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。

5. 发明申请

US20080263563A1 METHOD AND APPARATUS FOR ONLINE SAMPLE INTERVAL DETERMINATION 失效
标题翻译：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
申请人： Yixin Diao , Joseph L. Hellerstein , Sam Sampson Lightstone , Adam J. Storm , Maheswaran Surendra
发明人： Yixin Diao , Joseph L. Hellerstein , Sam Sampson Lightstone , Adam J. Storm , Maheswaran Surendra
IPC分类号： G06F9/50
CPC分类号： G06F11/3495 , G06F9/5016 , G06F9/5033 , G06F11/3419 , G06F11/3452 , G06F2201/87
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。

6. 发明授权

US07039559B2 Methods and apparatus for performing adaptive and robust prediction 失效
标题翻译：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
申请人： Steven E. Froehlich , Joseph L. Hellerstein , Edwin Richie Lassettre , Todd William Mummert , Maheswaran Surendra
发明人： Steven E. Froehlich , Joseph L. Hellerstein , Edwin Richie Lassettre , Todd William Mummert , Maheswaran Surendra
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。

7. 发明授权

US07013461B2 Systems and methods for service and role-based software distribution 失效
公开(公告)号：US07013461B2
公开(公告)日：2006-03-14
申请号：US09755786
申请日：2001-01-05
申请人： Joseph L. Hellerstein , Gautam Kar , Alexander Keller
发明人： Joseph L. Hellerstein , Gautam Kar , Alexander Keller
IPC分类号： G06F9/445 , G06F9/44 , G06F15/173 , G06F15/177
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.

8. 发明授权

US06937966B1 System and method for on-line adaptive prediction using dynamic management of multiple sub-models 失效
标题翻译：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
申请人： Joseph L. Hellerstein , Fan Zhang
发明人： Joseph L. Hellerstein , Fan Zhang
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。

9. 发明授权

US06829608B2 Systems and methods for discovering mutual dependence patterns 有权
标题翻译：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
申请人： Sheng Ma , Joseph L. Hellerstein
发明人： Sheng Ma , Joseph L. Hellerstein
IPC分类号： G06F1730
CPC分类号： G06F7/02 , G06F2207/025 , Y10S707/99931 , Y10S707/99936 , Y10S707/99937 , Y10S707/99942
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。

10. 发明授权

US06675128B1 Methods and apparatus for performance management using self-adjusting model-based policies 有权
标题翻译：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
申请人： Joseph L. Hellerstein
发明人： Joseph L. Hellerstein
IPC分类号： G06N700
CPC分类号： H04L41/0893 , H04L41/0681 , H04L41/147 , H04L41/22 , H04L41/5029 , H04L41/5096 , H04L43/08 , H04L43/0817 , H04L43/16 , H04Q3/0062
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。

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