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    • 81. 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。
    • 82. 发明申请
    • DYNAMICALLY RELOCATING WORKLOADS IN A NETWORKED COMPUTING ENVIRONMENT
    • 在网络化的计算环境中动态地移动工作量
    • US20130041989A1
    • 2013-02-14
    • US13204910
    • 2011-08-08
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • G06F15/173
    • G06F9/5044G06F9/505
    • Embodiments of the present invention provide an approach for dynamically relocating a set of workloads among geographic regions of a networked computing environment (e.g., a cloud computing environment) based on infrastructure/computing resource needs. In a typical embodiment, it is determined whether a first geographic region of the networked computing environment has a first set of computing resources with an available capacity that meets a needed capacity for handling a set of workloads that is initially associated with the first geographic region. If not, a second geographic region of the networked computing environment having a second set of computing resources with the needed capacity is identified. In general, this determination can be made based upon multiple factors such as: a set of performance requirements, stored in at least one computer data structure, needed to handle the set of workloads; a set of environmental parameters, stored in the at least one computer data structure, having a potential to affect the handling of the set of workloads; and/or a set of cost parameters, stored in the at least one computer data structure, associated with handling the set of workloads. Once the second geographic region has been identified, the set of workloads can be associated with and handled thereby.
    • 本发明的实施例提供了一种用于基于基础设施/计算资源需求在网络计算环境(例如,云计算环境)的地理区域之间动态地重定位一组工作负载的方法。 在典型的实施例中,确定联网的计算环境的第一地理区域是否具有满足用于处理最初与第一地理区域相关联的一组工作负载的所需能力的可用容量的第一组计算资源。 如果不是,则识别具有所需容量的具有第二组计算资源的联网计算环境的第二地理区域。 一般而言,这种确定可以基于多个因素进行,例如:存储在处理该组工作负载所需的至少一个计算机数据结构中的一组性能要求; 存储在所述至少一个计算机数据结构中的一组环境参数,具有影响所述一组工作负载的处理的潜力; 和/或存储在所述至少一个计算机数据结构中的一组成本参数,其与处理所述工作负载集相关联。 一旦确定了第二个地理区域,就可以将这组工作负载与之相关联并进行处理。