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    Predictive Monitoring With Wavelet Analysis
    2.
    发明申请
    Predictive Monitoring With Wavelet Analysis 失效
    小波分析预测监测

    公开(公告)号：US20120297252A1

    公开(公告)日：2012-11-22

    申请号：US13531565

    申请日：2012-06-24

    申请人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M. Sgro

    发明人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M. Sgro

    IPC分类号： G06F11/34

    CPC分类号： G06F11/004 ,  G06F11/0754

    摘要： A computer implemented method, computer program product and system for monitoring a plurality of hardware or software system resources for identifying hidden trends in the behavior of the system resources, includes: collecting metrics of at least one system resource indicative of the behavior of at least one system resource; for each of the at least one system resource, determining a spectrum representative of a time-based signal of the collected metrics; performing a wavelet transform on each of the at least one spectrum; and analyzing the result of the wavelet transform to identify possible linear trends in the behavior of the at least one system resource.

    摘要翻译： 一种用于监视多个硬件或软件系统资源以用于识别系统资源的行为的隐藏趋势的计算机实现的方法，计算机程序产品和系统，包括：收集指示至少一个的行为的至少一个系统资源的度量 系统资源; 对于所述至少一个系统资源中的每一个，确定表示所收集的度量的基于时间的信号的频谱; 在所述至少一个频谱中的每一个上执行小波变换; 以及分析所述小波变换的结果以识别所述至少一个系统资源的行为中的可能的线性趋势。

    Predictive Monitoring With Wavelet Analysis
    3.
    发明申请
    Predictive Monitoring With Wavelet Analysis 有权
    小波分析预测监测

    公开(公告)号：US20110016360A1

    公开(公告)日：2011-01-20

    申请号：US12754961

    申请日：2010-04-06

    申请人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M. Sgro

    发明人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M. Sgro

    IPC分类号： G06F11/34

    CPC分类号： G06F11/004 ,  G06F11/0754

    摘要： A computer implemented method, computer program product and system for monitoring a plurality of hardware or software system resources for identifying hidden trends in the behavior of the system resources, includes: collecting metrics of at least one system resource indicative of the behavior of at least one system resource; for each of the at least one system resource, determining a spectrum representative of a time-based signal of the collected metrics; performing a wavelet transform on each of the at least one spectrum; and analyzing the result of the wavelet transform to identify possible linear trends in the behavior of the at least one system resource.

    摘要翻译： 一种用于监视多个硬件或软件系统资源以用于识别系统资源的行为的隐藏趋势的计算机实现的方法，计算机程序产品和系统，包括：收集指示至少一个的行为的至少一个系统资源的度量 系统资源; 对于所述至少一个系统资源中的每一个，确定表示所收集的度量的基于时间的信号的频谱; 在所述至少一个频谱中的每一个上执行小波变换; 以及分析所述小波变换的结果以识别所述至少一个系统资源的行为中的可能的线性趋势。

    Predictive monitoring with wavelet analysis
    4.
    发明授权
    Predictive monitoring with wavelet analysis 失效
    用小波分析进行预测监测

    公开(公告)号：US08479047B2

    公开(公告)日：2013-07-02

    申请号：US13531565

    申请日：2012-06-24

    申请人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M Sgro

    发明人： Stefano Borghetti ,  Gianluca Della Corte ,  Leonida Gianfagna ,  Antonio Perrone ,  Antonio M Sgro

    IPC分类号： G06F11/00

    CPC分类号： G06F11/004 ,  G06F11/0754

    摘要： A computer implemented method, computer program product and system for monitoring a plurality of hardware or software system resources for identifying hidden trends in the behavior of the system resources, includes: collecting metrics of at least one system resource indicative of the behavior of at least one system resource; for each of the at least one system resource, determining a spectrum representative of a time-based signal of the collected metrics; performing a wavelet transform on each of the at least one spectrum; and analyzing the result of the wavelet transform to identify possible linear trends in the behavior of the at least one system resource.

    摘要翻译： 一种用于监视多个硬件或软件系统资源以用于识别系统资源的行为的隐藏趋势的计算机实现的方法，计算机程序产品和系统，包括：收集指示至少一个的行为的至少一个系统资源的度量 系统资源; 对于所述至少一个系统资源中的每一个，确定表示所收集的度量的基于时间的信号的频谱; 在所述至少一个频谱中的每一个上执行小波变换; 以及分析所述小波变换的结果以识别所述至少一个系统资源的行为中的可能的线性趋势。

    Detecting applications in a virtualization environment
    7.
    发明授权
    Detecting applications in a virtualization environment 失效
    在虚拟化环境中检测应用程序

    公开(公告)号：US08677326B2

    公开(公告)日：2014-03-18

    申请号：US13429402

    申请日：2012-03-25

    申请人： Antonio Perrone ,  Leonardo Rosati ,  Paolo Salerno

    发明人： Antonio Perrone ,  Leonardo Rosati ,  Paolo Salerno

    IPC分类号： G06F9/44 ,  G06F9/445

    CPC分类号： G06F21/105 ,  G06F9/45558 ,  G06F2009/45591 ,  G06F2221/2135

    摘要： A method for allowing license tools to detect the installation of applications that are not physically installed on a machine when an Application Virtualization Environments is used. In one embodiment of the invention, the license tools may further detect application usage. In one embodiment of the invention, a virtual installation signature may be defined. Agents in a target computer may be used to compare the virtual installation signature of an application with a localized list of potential applications to detect whether the software is installed on the target computer.

    摘要翻译： 当使用应用程序虚拟化环境时，允许许可证工具检测在机器上未实际安装的应用程序的安装的方法。 在本发明的一个实施例中，许可证工具可以进一步检测应用使用。 在本发明的一个实施例中，可以定义虚拟安装签名。 目标计算机中的代理可用于将应用程序的虚拟安装签名与潜在应用程序的本地化列表进行比较，以检测软件是否安装在目标计算机上。

    Method and apparatus for populating a software catalog with automated use signature generation
    8.
    发明授权
    Method and apparatus for populating a software catalog with automated use signature generation 失效
    用于使用自动使用签名生成填充软件目录的方法和装置

    公开(公告)号：US08521865B2

    公开(公告)日：2013-08-27

    申请号：US11564486

    申请日：2006-11-29

    申请人： Salvatore D'Alo ,  Scot MacLellan ,  Antonio Perrone

    发明人： Salvatore D'Alo ,  Scot MacLellan ,  Antonio Perrone

    IPC分类号： G06F15/173

    CPC分类号： G06F21/105 ,  G06F11/3466 ,  G06F21/121 ,  G06F2201/865 ,  G06F2221/2135

    摘要： A method and a corresponding apparatus for managing software licenses on a plurality of computer are proposed. The present method and system aim at populating a software catalog without the manual intervention of an administrator. The present invention reduces the cost of producing and maintaining a comprehensive knowledge base (the catalog) which contains definitions of software products and the related use signature. Information about software products and their related signature is obtained through a process which gathers information with an automated process which takes an initial snapshot of all processes running on a monitored data processing system and makes a comparison with a final snapshot after execution of a software product has been started. A “use signature” of the software product is then generated according to the difference.

    摘要翻译： 提出了一种在多台计算机上管理软件许可证的方法和相应的装置。 本方法和系统旨在填充软件目录，而无需管理员的手动干预。 本发明降低了生产和维护包含软件产品定义和相关使用签名的综合知识库（目录）的成本。 有关软件产品及其相关签名的信息是通过一个采用自动化流程收集信息的过程获得的，该过程对所监控的数据处理系统上运行的所有进程进行初始快照，并在执行软件产品后与最终快照进行比较 已经开始了 然后根据差异生成软件产品的“使用签名”。

    Discovering multi-component software products
    9.
    发明授权
    Discovering multi-component software products 失效
    发现多组件软件产品

    公开(公告)号：US08438543B2

    公开(公告)日：2013-05-07

    申请号：US13187887

    申请日：2011-07-21

    申请人： Giancarlo Carbone ,  Fabio Cerri ,  Bernardo Pastorelli ,  Antonio Perrone

    发明人： Giancarlo Carbone ,  Fabio Cerri ,  Bernardo Pastorelli ,  Antonio Perrone

    IPC分类号： G06F9/44

    CPC分类号： G06F8/60

    摘要： A solution for discovering shared software components (C1-C9) of software products (PRODa-PRODe) installed on a data processing system is proposed. In order to achieve this result, for each software product the corresponding software components are aggregated into groups (Ga1-Ge1); each group includes software components that must be linked by a corresponding relationship (such as a co-location on the same operating system image). In this way, it is possible to assign a software component available on the system to its software product even when it may be used by more of them. Particularly, the operation is performed deterministically when the available software component is included in a single valid group (i.e., a group including all the required software components); in this case, the available software component (C2) is assigned to the software product (PROD) associated with the single valid group (Gb1). Alternatively, when an (ambiguous) available software component (C4, C8, C9) is included in more valid groups, a score is calculated for each associated (eligible) software product according to the corresponding available software components; the eligible software product with the highest score (PROD) is then selected for assigning the ambiguous software component.

    摘要翻译： 提出了一种解决方案，用于发现安装在数据处理系统上的软件产品（PRODa-PRODe）的共享软件组件（C1-C9）。 为了实现这一结果，对于每个软件产品，相应的软件组件被聚合成组（Ga1-Ge1）; 每个组包括必须通过相应关系链接的软件组件（例如在同一操作系统映像上的共同位置）。 以这种方式，可以将系统上可用的软件组件分配给其软件产品，即使它们可能被更多的它们使用。 特别地，当可用软件组件包括在单个有效组（即，包括所有所需软件组件的组）中时，确定性地执行操作; 在这种情况下，可用的软件组件（C2）被分配给与单个有效组（Gb1）相关联的软件产品（PROD）。 或者，当在更有效的组中包括（模糊）可用软件组件（C4，C8，C9）时，根据相应的可用软件组件计算每个相关（合格）软件产品的分数; 然后选择具有最高分数（PROD）的合格软件产品用于分配模糊软件组件。

    Developing software applications with increased modularity
    10.
    发明授权
    Developing software applications with increased modularity 失效
    开发具有更高模块性的软件应用程序

    公开(公告)号：US08271934B2

    公开(公告)日：2012-09-18

    申请号：US12138639

    申请日：2008-06-13

    申请人： Francesco Maria Carteri ,  Alessandro Donatelli ,  Rosario Gangemi ,  Antonio Perrone ,  Luigi Pichetti

    发明人： Francesco Maria Carteri ,  Alessandro Donatelli ,  Rosario Gangemi ,  Antonio Perrone ,  Luigi Pichetti

    IPC分类号： G06F9/44

    CPC分类号： G06F8/24

    摘要： A solution is proposed for developing software applications on a data processing system. A corresponding method starts with the step of providing an analysis model of a software application (such as based on a use case diagram); the analysis model represents the software application with stereotypes (i.e., use cases) each one representing a requirement of the software application. The method continues by estimating an optimum number of features of the software application (each one representing a function of the software application); the optimum number of features is estimated according to the analysis model. The stereotypes are then organized in packages; each package includes a set of logically correlated stereotypes, which expose a corresponding feature. A number of the packages are determined according to the optimum number of features and used to implement the software application.

    摘要翻译： 提出了一种在数据处理系统上开发软件应用程序的解决方案。 相应的方法从提供软件应用的分析模型（例如基于用例图）的步骤开始; 分析模型表示具有代表软件应用程序要求的每一个的具有刻板印象（即，用例）的软件应用程序。 该方法通过估计软件应用的特征的最佳数量（每个代表软件应用的功能）来继续; 根据分析模型估计最优特征数。 然后，这些刻板印象将以包装的形式组织; 每个包包括一组逻辑相关的定型，这暴露了相应的特征。 根据功能的最佳数量确定多个软件包，并用于实现软件应用程序。