专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20090069009A1 DETERMINING PROCESSOR OCCUPANCY OF A CLUSTER OF HOME LOCATION REGISTERS 有权
标题翻译：确定家庭位置寄存器集群的处理器功能
公开(公告)号：US20090069009A1
公开(公告)日：2009-03-12
申请号：US11851035
申请日：2007-09-06
申请人： David C. Ma , Dennis J. Wiest , Barrett D. Milliken
发明人： David C. Ma , Dennis J. Wiest , Barrett D. Milliken
IPC分类号： H04Q7/20
CPC分类号： H04W88/14
摘要： 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.
摘要翻译：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

US20140094201A1 Method And Apparatus For Paging Policy Adaptation In A Wireless Network 有权
标题翻译：无线网络中寻呼策略适配的方法与装置
公开(公告)号：US20140094201A1
公开(公告)日：2014-04-03
申请号：US13630299
申请日：2012-09-28
申请人： James P. Knauft , Mrinmoy Bhattacharjee , Barrett D. Milliken , Gordon S. Milliken , Keith R. Stanley
发明人： James P. Knauft , Mrinmoy Bhattacharjee , Barrett D. Milliken , Gordon S. Milliken , Keith R. Stanley
IPC分类号： H04W68/00
CPC分类号： H04W68/12 , H04W68/02
摘要： Various methods and devices are provided to address the need to mitigate the effects of an overload and/or prevent an overload from cascading. In one method, devices are paged (101) according to a first paging policy regarding paging attempts. It is then determined (102) that a reduced availability condition exists for network equipment supporting the first paging policy. While this reduced availability condition exists, user equipment is paged (103) according to an adapted paging policy which is more limited in paging attempts than the first paging policy.
摘要翻译：提供了各种方法和装置来解决减轻过载的影响和/或防止级联过载的需要。在一种方法中，根据关于寻呼尝试的第一寻呼策略，寻呼（101）设备。然后确定（102）对于支持第一寻呼策略的网络设备存在可用性降低的条件。虽然存在这种减少的可用性条件，但是根据适应的寻呼策略来对用户设备进行寻呼（103），其在寻呼尝试中比第一寻呼策略更受限制。

3. 发明授权

US07804943B2 Management for a heterogeneous pool of processors for the assignment of additional load 有权
标题翻译：管理一个异构的处理器池，用于分配额外的负载
公开(公告)号：US07804943B2
公开(公告)日：2010-09-28
申请号：US11494562
申请日：2006-07-27
申请人： Mrinmoy Bhattacharjee , Christopher D. Liesen , Alejandro Maya , Barrett D. Milliken , Carol A. Toman
发明人： Mrinmoy Bhattacharjee , Christopher D. Liesen , Alejandro Maya , Barrett D. Milliken , Carol A. Toman
IPC分类号： H04M15/00
CPC分类号： G06F9/5088 , G06F2209/5019
摘要： An exemplary method implements load management for large granularity processes on application processors, APs. First data associated with the primary processes running on each AP is periodically collected, where the first data is proportional to processor occupancy, PO, for the primary processes running on each AP. Second data associated with auxiliary processes running on each AP is periodically collected where the auxiliary processes directly support the primary processes running on the respective AP. The second data is proportional to PO for the auxiliary processes running on each AP. A processor scaling factor and an overhead scaling factor are calculated for each AP based on the first and second data, respectively. The total amount of additional PO a second AP would incur to run a first large granularity process is determined by two aspects. The amount of additional PO due to the primary process is determined by applying at least the second processor scaling factor to a value related to an amount of primary process PO of the first process running on the first AP. The amount of additional PO due to overhead processes is determined by applying the overhead scaling factor of the second AP to the previously determined amount of additional PO due to the primary processes determined for the second AP.
摘要翻译：一种示例性方法对应用处理器，AP上的大粒度进程实施负载管理。定期收集与每个AP上运行的主进程相关联的第一数据，其中第一数据与每个AP上运行的主进程的处理器占用率（PO）成比例。定期收集与每个AP上运行的辅助进程相关联的第二数据，其中辅助进程直接支持在相应AP上运行的主进程。第二个数据与每个AP上运行的辅助进程的PO成比例。基于第一和第二数据分别为每个AP计算处理器缩放因子和开销缩放因子。第二AP的额外PO的总量将用于运行第一大粒度过程由两个方面确定。通过将至少第二处理器缩放因子应用于与在第一AP上运行的第一处理的主处理PO的量相关的值来确定由于主处理而引起的附加PO的量。由于对于第二AP确定的主要处理，由开销处理引起的额外PO的量由第二AP的开销比例因子应用于先前确定的附加PO的量来确定。

4. 发明申请

US20080046894A1 Management for a heterogeneous pool of processors for the assignment of additional load 有权
标题翻译：管理一个异构的处理器池，用于分配额外的负载
公开(公告)号：US20080046894A1
公开(公告)日：2008-02-21
申请号：US11494562
申请日：2006-07-27
申请人： Mrinmoy Bhattacharjee , Christopher D. Liesen , Alejandro Maya , Barrett D. Milliken , Carol A. Toman
发明人： Mrinmoy Bhattacharjee , Christopher D. Liesen , Alejandro Maya , Barrett D. Milliken , Carol A. Toman
IPC分类号： G06F9/46
CPC分类号： G06F9/5088 , G06F2209/5019
摘要： An exemplary method implements load management for large granularity processes on application processors, APs. First data associated with the primary processes running on each AP is periodically collected, where the first data is proportional to processor occupancy, PO, for the primary processes running on each AP. Second data associated with auxiliary processes running on each AP is periodically collected where the auxiliary processes directly support the primary processes running on the respective AP. The second data is proportional to PO for the auxiliary processes running on each AP. A processor scaling factor and an overhead scaling factor are calculated for each AP based on the first and second data, respectively. The total amount of additional PO a second AP would incur to run a first large granularity process is determined by two aspects. The amount of additional PO due to the primary process is determined by applying at least the second processor scaling factor to a value related to an amount of primary process PO of the first process running on the first AP. The amount of additional PO due to overhead processes is determined by applying the overhead scaling factor of the second AP to the previously determined amount of additional PO due to the primary processes determined for the second AP.
摘要翻译：一种示例性方法对应用处理器，AP上的大粒度进程实施负载管理。定期收集与每个AP上运行的主进程相关联的第一数据，其中第一数据与每个AP上运行的主进程的处理器占用率（PO）成比例。定期收集与每个AP上运行的辅助进程相关联的第二数据，其中辅助进程直接支持在相应AP上运行的主进程。第二个数据与每个AP上运行的辅助进程的PO成比例。基于第一和第二数据分别为每个AP计算处理器缩放因子和开销缩放因子。第二AP的额外PO的总量将用于运行第一大粒度过程由两个方面确定。通过将至少第二处理器缩放因子应用于与在第一AP上运行的第一处理的主处理PO的量相关的值来确定由于主处理而引起的附加PO的量。由于对于第二AP确定的主要处理，由开销处理引起的额外PO的量由第二AP的开销比例因子应用于先前确定的附加PO的量来确定。

5. 发明授权

US08159950B2 Determining processor occupancy of a cluster of home location registers 有权
标题翻译：确定归属位置寄存器集群的处理器占用
公开(公告)号：US08159950B2
公开(公告)日：2012-04-17
申请号：US11851035
申请日：2007-09-06
申请人： David C. Ma , Dennis J. Wiest , Barrett D. Milliken
发明人： David C. Ma , Dennis J. Wiest , Barrett D. Milliken
IPC分类号： H04L12/26
CPC分类号： H04W88/14
摘要： 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.
摘要翻译：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。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式