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    • 2. 发明申请
    • VIRTUAL NODE SUBPOOL MANAGEMENT
    • 虚拟节点子管理
    • US20120136907A1
    • 2012-05-31
    • US12956076
    • 2010-11-30
    • Abhinay R. NagpalSri RamanathanSandeep RameshMathew B. Trevathan
    • Abhinay R. NagpalSri RamanathanSandeep RameshMathew B. Trevathan
    • G06F17/30
    • G06F17/30233
    • Virtual file system virtual nodes are grouped in subpools in response to identified resource components and managed as a function of their subpool groupings. Virtual nodes are decomposed into individual components linked to each other within each node. The components that have repetitive accesses by applications within the virtual file system and their respective frequencies of repetitive access are identified. Modules of linked occurrences of the repetitive components within each of the plurality of virtual nodes are formed, and subsets of the virtual nodes sharing common modules are grouped into subpools. Accordingly, in response to an application of the virtual file system requesting a service that is satisfied by a subpool common module, selection of a virtual node for reinitiating for reuse by the application is restricted to virtual nodes within the subpool associated with the common module.
    • 虚拟文件系统虚拟节点根据识别的资源组件进行分组,并作为其子分组的功能进行管理。 虚拟节点被分解成在每个节点内彼此链接的各个组件。 识别虚拟文件系统中应用程序重复访问的组件及其相应的重复访问频率。 形成多个虚拟节点内的重复组件的链接出现的模块,并且共享公共模块的虚拟节点的子集被分组成子项目。 因此,响应于请求由子公共模块所满足的服务的虚拟文件系统的应用,用于由应用重新启动以供重用的虚拟节点的选择被限制到与公共模块相关联的子池内的虚拟节点。
    • 4. 发明授权
    • Smart survey with progressive discovery
    • 智能调查与渐进发现
    • US08412661B2
    • 2013-04-02
    • US12953506
    • 2010-11-24
    • David C. BrillhartChristopher J. DawsonNicholas J. KarelsMathew B. Trevathan
    • David C. BrillhartChristopher J. DawsonNicholas J. KarelsMathew B. Trevathan
    • G06G7/00G06Q10/00
    • G06F17/3053G06N5/02G06N5/022G06Q30/0203
    • Embodiments of the invention collect data or information from a dynamic and adaptive target group selection. Sets of experts are selected that each have higher value metrics scores relative to scores of other, unselected experts of a population of known experts, and wherein the metric values are indicative of an expertise relevant to one or more questions in a survey. Responses to the survey are used to expand the set of experts by adding experts noted in answer referrals, and to automatically update the expert value metric scores as a function of response timeliness and of degrees of correlation of answers to an expected answer or other norm. The survey is updated by removing satisfied questions, and expert selections, answers analysis and survey updating and resending steps are iteratively repeated until each question is satisfied, wherein the expert sets are dynamically revised for each iteration.
    • 本发明的实施例从动态和自适应目标组选择中收集数据或信息。 选择专家组,每个专家具有相对于已知专家人群的其他未选择专家的分数的较高价值度量分数,并且其中度量值表示与调查中的一个或多个问题相关的专业知识。 通过添加回答转介中指出的专家,对调查问卷的回应用于扩大专家组,并自动更新专家价值度量分数作为响应及时性和答案与预期答案或其他规范的相关程度的函数。 通过删除满意的问题来更新调查,并且迭代重复专家选择,答案分析和调查更新和重新发送步骤,直到每个问题得到满足为止,其中专家组对于每次迭代进行动态修改。