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    • 1. 发明授权
    • Determining processor occupancy of a cluster of home location registers
    • 确定归属位置寄存器集群的处理器占用
    • US08159950B2
    • 2012-04-17
    • US11851035
    • 2007-09-06
    • David C. MaDennis J. WiestBarrett D. Milliken
    • David C. MaDennis J. WiestBarrett D. Milliken
    • H04L12/26
    • H04W88/14
    • Methods and computer readable mediums are provided for determining the processor occupancy of a cluster of HLR registers. A deterministic-based performance model is utilized to determine the processor occupancy based on a number of nodes in the cluster, a number of call attempts per unit time, a number of autonomous registrations, a processor utilization for processing each call attempt and a processor utilization for processing each autonomous registration. The models may be utilized to determine the processor occupancy of each node in the cluster if a selected number of HLR nodes are utilized, such that an iterative process may be employed to select a number of HLR nodes in order for each HLR node to operate under a node processor occupancy threshold.
    • 提供了用于确定HLR寄存器簇的处理器占用的方法和计算机可读介质。 基于确定性的性能模型被用于基于群集中的多个节点,每单位时间的呼叫尝试次数,多个自主登记,用于处理每个呼叫尝试的处理器利用率和处理器利用率来确定处理器占用 用于处理每个自主注册。 如果使用选定数量的HLR节点,则可以利用这些模型来确定群集中每个节点的处理器占用率,使得可以采用迭代过程来选择多个HLR节点,以便每个HLR节点在 节点处理器占用阈值。
    • 2. 发明申请
    • DETERMINING PROCESSOR OCCUPANCY OF A CLUSTER OF HOME LOCATION REGISTERS
    • 确定家庭位置寄存器集群的处理器功能
    • US20090069009A1
    • 2009-03-12
    • US11851035
    • 2007-09-06
    • David C. MaDennis J. WiestBarrett D. Milliken
    • David C. MaDennis J. WiestBarrett D. Milliken
    • H04Q7/20
    • H04W88/14
    • Methods and computer readable mediums are provided for determining the processor occupancy of a cluster of HLR registers. A deterministic-based performance model is utilized to determine the processor occupancy based on a number of nodes in the cluster, a number of call attempts per unit time, a number of autonomous registrations, a processor utilization for processing each call attempt and a processor utilization for processing each autonomous registration. The models may be utilized to determine the processor occupancy of each node in the cluster if a selected number of HLR nodes are utilized, such that an iterative process may be employed to select a number of HLR nodes in order for each HLR node to operate under a node processor occupancy threshold.
    • 提供了用于确定HLR寄存器簇的处理器占用的方法和计算机可读介质。 基于确定性的性能模型被用于基于群集中的多个节点,每单位时间的呼叫尝试次数,多个自主登记,用于处理每个呼叫尝试的处理器利用率和处理器利用率来确定处理器占用 用于处理每个自主注册。 如果使用选定数量的HLR节点,则可以利用这些模型来确定群集中每个节点的处理器占用率,使得可以采用迭代过程来选择多个HLR节点,以便每个HLR节点在 节点处理器占用阈值。
    • 3. 发明授权
    • Precision high speed turning machine
    • 精密高速车床
    • US06237452B1
    • 2001-05-29
    • US08999380
    • 1997-12-29
    • Stephen J. LudwickDavid L. TrumperDavid C. Ma
    • Stephen J. LudwickDavid L. TrumperDavid C. Ma
    • B23B500
    • B24B13/0055B23B5/36B24B27/04Y10T82/148Y10T82/2502Y10T82/2533Y10T82/2535
    • A precision high speed turning machine apparatus is provided which performs a selected operation, such as shaping, polishing or probing/measuring on a workpiece and in particular on a rotationally non-symmetric workpiece. The workpiece is mounted to a workpiece mount which rotates the workpiece at a controlled rate, and a tool is provided which is adapted to perform the selected operation. The tool is supported on a tool mount which positions the tool adjacent a portion of a workpiece surface to be operated on. The tool mount is designed to have very low inertia which permits relatively large movements, of the tool generally perpendicular to the workpiece, at high enough accelerations so as to permit high speed rotation of the workpiece. For some embodiments, more than one tool is mounted to the arm so as to permit a plurality of different operations to be performed.
    • 提供一种精密高速车床设备,其执行选择的操作,例如在工件上,特别是在旋转非对称的工件上的成形,抛光或探测/测量。 工件被安装到以受控的速率旋转工件的工件安装件,并且提供适于执行所选择的操作的工具。 工具支撑在刀具座上,刀具将工件定位在工件表面的一部分上以便操作。 工具座被设计成具有非常低的惯性,这允许工具大体上垂直于工件的相对大的运动,以足够高的加速度,以允许工件的高速旋转。 对于一些实施例,将多于一个的工具安装到臂上,以允许执行多个不同的操作。