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    • 1. 发明授权
    • Semi-hierarchical system and method for administration of clusters of computer resources
    • 用于管理计算机资源集群的半分层系统和方法
    • US07577730B2
    • 2009-08-18
    • US10307103
    • 2002-11-27
    • Myung Mun BaeJose E. MoreiraRamendra Kumar Sahoo
    • Myung Mun BaeJose E. MoreiraRamendra Kumar Sahoo
    • G06F15/173G06F15/16
    • G06F9/5061
    • A system and method for managing clustered computer resources, and more particularly very large scale clusters of computer resources by a semi-hierarchical n level, n+1 tier approach. The top level consists of the controller nodes. A first tier is defined at the top level. At a last level, at which the cluster of controlled nodes is found, a last tier is defined. Additional levels of controller or controlled nodes may exist between the top and bottom levels. At least one intermediate tier is introduced between two of the levels and comprises at least one proxy or a plurality of proxies. A proxy is a process or set of processes representing processes of the clustered computer resources. Proxies can run either on controller nodes or on the controlled nodes or controlled node clusters to facilitate administration of the controlled nodes.
    • 一种用于通过半层次n级,n + 1级方法来管理集群计算机资源的特别是非常大规模的计算机资源集群的系统和方法。 顶层由控制器节点组成。 第一层被定义在顶层。 在最后一级,找到受控节点的集群,定义最后一层。 控制器或受控节点的附加级别可能存在于顶层和底层之间。 在两个级别之间引入至少一个中间层,并且包括至少一个代理或多个代理。 代理是表示集群计算机资源的进程的进程或一组进程。 代理可以在控制器节点上运行,也可以在受控节点或受控节点集群上运行,以便于受控节点的管理。
    • 4. 发明申请
    • Determining an Optimal Solution Set Based on Human Selection
    • 基于人类选择确定最优解集
    • US20090177690A1
    • 2009-07-09
    • US11968993
    • 2008-01-03
    • Sinem GuvenGopal Sarma PingaliDebanjan SahaRamendra Kumar SahooAnees Shaikh
    • Sinem GuvenGopal Sarma PingaliDebanjan SahaRamendra Kumar SahooAnees Shaikh
    • G06F17/30
    • G06Q30/02
    • An exemplary method of determining a set of optimal solutions for a problem includes the steps of determining a set of probable solutions for the problem; presenting the set of probable solutions to at least one human expert; receiving at least one selection by the at least one human expert of at least one solution from the set of probable solutions; and determining a set of optimal solutions from the set of probable solutions based at least in part on the at least one selection by the at least one human expert. The method may also include steps of presenting at least one of the set of probable solutions and the set of optimal solutions to at least another human expert; permitting the at least another human expert to select at least one solution from at least one of the set of probable solutions and the set of optimal solutions; and determining a set of optimal solutions from the set of probable solutions based at least in part on the at least one selection by the at least one human expert and the at least one selection by the at least another human expert.
    • 确定问题的一组最优解的示例性方法包括以下步骤:确定该问题的可能解的集合; 向至少一位人类专家提供一套可能的解决方案; 由所述至少一个人类专家接收来自所述一组可能解决方案的至少一个解决方案的至少一个选择; 以及至少部分地基于所述至少一个人类专家的所述至少一个选择来从所述一组可能解决方案中确定一组最优解。 该方法还可以包括以下步骤:向至少另一人类专家呈现该组可能解和集合的最优解中的至少一个; 允许所述至少另一个人类专家从所述一组可能解和所述一组最优解中的至少一个中选择至少一个解; 以及至少部分地基于所述至少一个人类专家的至少一个选择和所述至少另一个人类专家的所述至少一个选择来从所述一组可能解决方案中确定一组最优解。