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    • 2. 发明授权
    • Data set request allocations to computers
    • 数据集请求分配给计算机
    • US07730086B1
    • 2010-06-01
    • US11670113
    • 2007-02-01
    • Vir V. PhohaSitharama S. IyengarRajgopal Kannan
    • Vir V. PhohaSitharama S. IyengarRajgopal Kannan
    • G06N3/02
    • H04L67/1008H04L67/02H04L67/1002H04L67/1023H04L67/2814H04L67/2842Y10S707/99932Y10S707/99936
    • A method of allocation a computer to service a request for a data set in a system having a plurality of computers. The method is implemented on a neural network having only an input layer having input nodes and an output layer having output nodes, where each output node is associated with a specific computer. Connecting the input nodes to the output nodes are weights w(j,k). The method includes the steps of receiving a request for data set “I” and inputting to the input layer a vector R(I) dependent upon the number of requests for the requested data over a predetermined period of time and selecting a computer assignment associated with of one of the output nodes to service the data request, where the output node selected is associated with a specific weight selected to minimize a predetermined metric measuring the distance between the vector entry R(I) and the weights(I,k).
    • 一种分配计算机以对具有多个计算机的系统中的数据集的请求进行服务的方法。 该方法在具有仅具有输入节点的输入层和具有输出节点的输出层的神经网络上实现,其中每个输出节点与特定计算机相关联。 将输入节点连接到输出节点是权重w(j,k)。 该方法包括以下步骤:接收对数据集“I”的请求并根据在预定时间段内对所请求数据的请求数量向输入层输入向量R(I),并选择与 输出节点之一来服务数据请求,其中所选择的输出节点与选择的特定权重相关联,以最小化测量向量条目R(I)和权重(I,k)之间的距离的预定度量。