System and method for monitoring reliability of a digital system
    21.
    发明授权
    System and method for monitoring reliability of a digital system 失效
    监控数字系统可靠性的系统和方法

    公开(公告)号:US07495519B2

    公开(公告)日:2009-02-24

    申请号:US11742018

    申请日:2007-04-30

    IPC分类号: G01R23/00 H03B5/24 H03K3/03

    CPC分类号: G01R31/31937 G01R31/31725

    摘要: System and method are provided for continually monitoring reliability, or aging, of a digital system and for issuing a warning signal if digital system operation degrades past a specified threshold. The technique includes implementing a ring oscillator sensor in association with the digital system, wherein logic and/or device percent composition of the ring oscillator sensor mirrors percent composition thereof within the digital system. Counter logic is coupled to the ring oscillator sensor for converting outputted count signals to an oscillation frequency, and control logic is coupled to the counter logic for periodically evaluating oscillation frequency of the ring oscillator sensor and generating a warning signal indicative of reliability degradation if at least one of: (i) a measured or estimated oscillation frequency is below a warning threshold frequency; or (ii) a measured or estimated rate of change in a difference between measured oscillation frequencies exceeds an acceptable rate of change threshold.

    摘要翻译: 提供系统和方法用于连续监视数字系统的可靠性或老化,并且如果数字系统操作降低到指定的阈值以上,则发出警告信号。 该技术包括实现与数字系统相关联的环形振荡器传感器,其中环形振荡器传感器的逻辑和/或设备百分比组成反映数字系统内的其组成的百分比。 计数器逻辑耦合到环形振荡器传感器,用于将输出的计数信号转换为振荡频率,并且控制逻辑耦合到计数器逻辑,用于周期性评估环形振荡器传感器的振荡频率,并产生指示可靠性降级的警告信号,如果至少 以下之一:(i)测量或估计的振荡频率低于警告阈值频率; 或者(ii)所测量的振荡频率之间的测量或估计的变化率超过可接受的变化率阈值。

    Query routing based on feature learning of data sources
    24.
    发明授权
    Query routing based on feature learning of data sources 有权
    基于数据源特征学习的查询路由

    公开(公告)号:US06886009B2

    公开(公告)日:2005-04-26

    申请号:US10209112

    申请日:2002-07-31

    IPC分类号: G06F17/30

    摘要: Query routing is based on identifying the preeminent search systems and data sources for each of a number of information domains. This involves assigning a weight to each search system or data source for each of the information domains. The greater the weight, the more preeminent a search system or data source is in a particular information domain. These weights Wi{1=0, 1,2, . . . N] are computed through a recursive learning process employing meta processing. The meta learning process involves simultaneous interrogation of multiple search systems to take advantage of the cross correlation between the search systems and data sources. In this way, assigning a weight to a search system takes into consideration results obtained about other search systems so that the assigned weights reflect the relative strengths of each of the systems or sources in a particular information domain. In the present process, a domain dataset used as an input to query generator. The query generator extracts keywords randomly from the domain dataset. Sets of the extracted keywords constitute a domain specific search query. The query is submitted to the multiple search systems or sources to be evaluated. Initially, a random average weight is assigned to each search system or source. Then, the meta learning process recursively evaluates the search results and feeds back a weight correction dWi to be applied to each system or source server by using weight difference calculator. After a certain number of iterations, the weights Wi reach stable values. These stable values are the values assigned to the search system under evaluation. When searches are performed, the weights are used to determine search systems or sources that are interrogated.

    摘要翻译: 查询路由是基于为多个信息域中的每一个标识优秀的搜索系统和数据源。 这涉及为每个信息域的每个搜索系统或数据源分配权重。 权重越大,搜索系统或数据源在特定信息域中越是优秀。 这些权重Wi {1 = 0,1,2,... 。 。 N]通过使用元处理的递归学习过程来计算。 元学习过程包括同时询问多个搜索系统,以利用搜索系统和数据源之间的互相关。 以这种方式,向搜索系统分配权重考虑了关于其他搜索系统获得的结果,使得分配的权重反映了特定信息域中的每个系统或源的相对强度。 在本过程中,用作查询生成器的输入的域数据集。 查询生成器从域数据集中随机提取关键字。 所提取的关键字的集合构成域特定的搜索查询。 该查询被提交给要评估的多个搜索系统或源。 最初,随机平均权重被分配给每个搜索系统或源。 然后,元学习处理递归地评估搜索结果,并且通过使用权重差计算器反馈要应用于每个系统或源服务器的权重校正dWi。 经过一定次数的迭代,重量Wi达到稳定值。 这些稳定值是分配给正在评估的搜索系统的值。 当执行搜索时,权重用于确定被询问的搜索系统或源。

    Apparatus, method and program product for adaptive real-time power and perfomance optimization of multi-core processors
    25.
    发明授权
    Apparatus, method and program product for adaptive real-time power and perfomance optimization of multi-core processors 有权
    多核处理器的自适应实时功耗和性能优化的装置,方法和程序产品

    公开(公告)号:US08578193B2

    公开(公告)日:2013-11-05

    申请号:US11946522

    申请日:2007-11-28

    IPC分类号: G06F1/00 G06F1/26 G06F1/32

    CPC分类号: G06F1/324 G06F1/32

    摘要: An apparatus, method and program product for optimizing core performance and power in of a multi-core processor. The apparatus includes a multi-core processor coupled to a clock source providing a clock frequency to one or more cores, an independent power supply coupled to each core for providing a supply voltage to each core and a Phase-Locked Loop (PLL) circuit coupled to each core for dynamically adjusting the clock frequency provided to each core. The apparatus further includes a controller coupled to each core and being configured to collect performance data and power consumption data measured for each core and to adjust, using the PLL circuit, a supply voltage provided to a core, such that, the operational core frequency of the core is greater than a specification core frequency preset for the core and, such that, core performance and power consumption is optimized.

    摘要翻译: 一种用于优化多核处理器的核心性能和功耗的设备,方法和程序产品。 该装置包括耦合到时钟源的多核处理器,其为一个或多个核心提供时钟频率,耦合到每个核心的独立电源,用于向每个核心提供电源电压,以及耦合到锁相环 到每个核心,用于动态调整提供给每个核心的时钟频率。 该装置还包括耦合到每个核心并被配置为收集针对每个核心测量的性能数据和功耗数据的控制器,并且使用PLL电路来调整提供给核心的电源电压,使得所述操作核心频率 核心大于为核心预设的规格核心频率,从而优化核心性能和功耗。

    Searching a multi-lingual database
    26.
    发明授权
    Searching a multi-lingual database 有权
    搜索多语言数据库

    公开(公告)号:US08027994B2

    公开(公告)日:2011-09-27

    申请号:US12195862

    申请日:2008-08-21

    IPC分类号: G06F17/30

    摘要: A system and method of searching a database in which documents of different languages are included. The system includes a synonym or keyword dictionary which is bi-directional and allows for translation of keywords between a first language and other languages. The translated words keywords for the document are stored in an inverted index which is then used for searching, either in a selected language, a second language or in all languages, as determined by the user. This use of multiple searching and a translated synonym dictionary avoids the need for translation of the entire document and avoids inaccuracies which may result from translations.

    摘要翻译: 一种搜索包含不同语言的文档的数据库的系统和方法。 该系统包括双向的同义词或关键词字典,并允许在第一语言和其他语言之间翻译关键字。 用于文档的翻译的单词关键字被存储在反向索引中,然后用于按照用户确定的所选语言,第二语言或所有语言的搜索。 这种使用多重搜索和翻译的同义词词典避免了翻译整个文档的需要,并避免了翻译可能导致的不准确之处。

    Computer-implemented method, system and program product for approximating resource consumption of computer system
    27.
    发明授权
    Computer-implemented method, system and program product for approximating resource consumption of computer system 有权
    计算机实现的方法,系统和程序产品,用于近似计算机系统的资源消耗

    公开(公告)号:US07844441B2

    公开(公告)日:2010-11-30

    申请号:US11390527

    申请日:2006-03-27

    CPC分类号: G06F9/5083 G06F2209/5019

    摘要: In general, the present invention provides a method, system and program product for approximating/estimating computer resource consumption of a computer system. Specifically, under the present invention, a more efficient or reduced computer work gradient matrix (hereinafter “matrix”) is first built. This occurs by creating load measurements for a set of computer resource metrics of the computer system to analyze dependencies between different computer resource metrics. Then, a correlation matrix between the set of computer resource metrics is created based on the dependencies. The set of computer system resource metrics in the correlation matrix is thereafter clustered into a set of clusters, and a reduced matrix is built based thereon. Once the reduced matrix is built, it can be restored to a “full” matrix using linear transformation or the like.

    摘要翻译: 通常,本发明提供了一种用于近似/估计计算机系统的计算机资源消耗的方法,系统和程序产品。 具体地说,在本发明中,首先构建了更有效率或更低的计算机工作梯度矩阵(以下称为“矩阵”)。 这通过为计算机系统的一组计算机资源指标创建负载测量来分析不同计算机资源度量之间的依赖关系。 然后,基于依赖关系创建该组计算机资源度量之间的相关矩阵。 然后将相关矩阵中的一组计算机系统资源度量聚集成一组聚类,并基于此构建简化矩阵。 一旦构建了简化矩阵,就可以使用线性变换等将其恢复到“完整”矩阵。

    Method, system and program product for predicting computer system resource consumption
    28.
    发明授权
    Method, system and program product for predicting computer system resource consumption 失效
    用于预测计算机系统资源消耗的方法,系统和程序产品

    公开(公告)号:US07831976B2

    公开(公告)日:2010-11-09

    申请号:US11121828

    申请日:2005-05-04

    IPC分类号: G06F9/46 G06F15/16 G06F15/177

    摘要: Under the present invention, a computer work gradient matrix is built for each computer system that is interconnected in an environment. For each computer system for which resource consumption is desired to be predicted (e.g., “target” computer systems), a transition work cocycle is generated and provided to a master computer system. A set of task work paths will be constructed for the master computer system. Thereafter, an initial resource consumption value can be computed on the master computer system based on the computer work gradient matrix and the set of task work paths for the master computer system as well as a current background loading level that is being experienced by the target computer system. Then, using the initial resource consumption and the transition work cocycle for the target computer system(s), a resource consumption of the target computer system(s) can be predicted on the master computer system.

    摘要翻译: 根据本发明,为在环境中互连的每个计算机系统构建计算机工作梯度矩阵。 对于期望预测资源消耗的每个计算机系统(例如,“目标”计算机系统)),生成转换工作循环并将其提供给主计算机系统。 将为主计算机系统构建一组任务工作路径。 此后,可以在主计算机系统上基于计算机工作梯度矩阵和主计算机系统的任务工作路径集合以及目标计算机正在经历的当前后台加载水平来计算初始资源消耗值 系统。 然后,使用初始资源消耗和目标计算机系统的转换工作循环,可以在主计算机系统上预测目标计算机系统的资源消耗。

    Internet strategic brand weighting factor
    30.
    发明授权
    Internet strategic brand weighting factor 失效
    互联网战略品牌权重因子

    公开(公告)号:US07272573B2

    公开(公告)日:2007-09-18

    申请号:US10054301

    申请日:2001-11-13

    IPC分类号: G06Q30/00

    摘要: A method, software and apparatus are provided which enable a merchant to promote products and services in a deterministic manner. When a shopper enters a set of key words in an entry in an on-screen form for a web server to obtain a list of items (products and/or services) of interest to the shopper, the documents describing the items are prioritized based on the web sites owner's organizational strategic decisions by the merchant providing a weighting factor for the products and services. The weighting factor is combined with existing ranking mechanisms to the documents to increase the probability that certain items come to the top when the search results are presented to the shopper. These items could be used to ensure shoppers do not overlook special offers or to reduce overstocks by promoting products with a large inventory. The weighting factor is configured so as to not decrease the shoppers confidence in the ranking process.

    摘要翻译: 提供了一种方法,软件和装置,其使得商家能够以确定性的方式促进产品和服务。 当购物者在网络服务器的屏幕上的条目中输入一组关键词以获得购物者感兴趣的项目(产品和/或服务)的列表时,基于 网站所有者的组织战略决策由商家提供产品和服务的加权因子。 加权因子与文档的现有排名机制相结合,以便在将搜索结果呈现给购物者时增加某些项目达到顶部的可能性。 这些物品可用于确保购物者不要忽视特别优惠,或通过推广大量库存产品来减少库存。 加权因子被配置为不降低购物者对排名过程的置信度。