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    • 5. 发明授权
    • Workload management method to enhance shared resource access in a multisystem environment
    • 工作量管理方法来增强多系统环境中的共享资源访问
    • US06393455B1
    • 2002-05-21
    • US08827528
    • 1997-03-28
    • Catherine K. EilertPeter B. YocomGary M. KingJeffrey D. Aman
    • Catherine K. EilertPeter B. YocomGary M. KingJeffrey D. Aman
    • G06F900
    • G06F9/5061G06F9/5083
    • A technique is disclosed for managing a workload distributed across multiple data processing systems to enhance shared resource access to meet a common performance standard. The technique includes on at least one system, measuring performance of the work units on the system to create local performance data, and on at least some of the systems sending the local performance data to at least one other system of the multiple data processing systems. The method further includes on at least one of the systems, receiving the performance data from the sending systems to create remote performance data, and adjusting at least one control parameter for accessing shared resources in response to the local and remote performance data to modify the performance of the work units distributed across the data processing systems to achieve the common performance standard. A dynamic resource clustering process is also employed to enhance the shared resource management.
    • 公开了一种用于管理分布在多个数据处理系统上的工作负载以增强共享资源访问以满足公共性能标准的技术。 该技术包括至少一个系统,测量系统上的工作单元的性能以创建本地性能数据,以及在至少一些将本地性能数据发送到多个数据处理系统的至少一个其他系统的系统中。 该方法还包括在至少一个系统中,从发送系统接收性能数据以创建远程性能数据,以及响应于本地和远程性能数据调整用于访问共享资源的至少一个控制参数以修改性能 的工作单位分布在数据处理系统中实现共同的性能标准。 动态资源聚类过程也用于增强共享资源管理。
    • 10. 发明授权
    • Workload management method to enhance shared resource access in a multisystem environment
    • 工作量管理方法来增强多系统环境中的共享资源访问
    • US06760910B2
    • 2004-07-06
    • US09905236
    • 2001-07-13
    • Catherine K. EilertPeter B. YocomGary M. KingJeffrey D. Aman
    • Catherine K. EilertPeter B. YocomGary M. KingJeffrey D. Aman
    • G06F900
    • G06F9/5061G06F9/5083
    • A technique is disclosed for managing a workload distributed across multiple data processing systems to enhance shared resource access to meet a common performance standard. The technique includes on at least one system, measuring performance of the work units on the system to create local performance data, and on at least some of the systems sending the local performance data to at least one other system of the multiple data processing systems. The method further includes on at least one of the systems, receiving the performance data from the sending systems to create remote performance data, and adjusting at least one control parameter for accessing shared resources in response to the local and remote performance data to modify the performance of the work units distributed across the data processing systems to achieve the common performance standard. A dynamic resource clustering process is also employed to enhance the shared resource management.
    • 公开了一种用于管理分布在多个数据处理系统上的工作负载以增强共享资源访问以满足公共性能标准的技术。 该技术包括至少一个系统,测量系统上的工作单元的性能以创建本地性能数据,以及在至少一些将本地性能数据发送到多个数据处理系统的至少一个其他系统的系统中。 该方法还包括在至少一个系统中,从发送系统接收性能数据以创建远程性能数据,以及响应于本地和远程性能数据调整用于访问共享资源的至少一个控制参数以修改性能 的工作单位分布在数据处理系统中实现共同的性能标准。 动态资源聚类过程也用于增强共享资源管理。