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    • 2. 发明授权
    • Workload management in virtualized data processing environment
    • 虚拟化数据处理环境中的工作负载管理
    • US07698531B2
    • 2010-04-13
    • US11692537
    • 2007-03-28
    • Diane G. FlemmingOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • Diane G. FlemmingOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • G06F12/00
    • G06F9/5077G06F11/3433G06F12/0646G06F12/0802G06F12/109G06F2201/815
    • A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.
    • 一种用于将多个逻辑分区之间的访问平衡到采用系统虚拟化的计算机系统的物理系统资源的系统,方法和计算机可读介质。 每个逻辑分区最初在启动期间根据分配的调度窗口利用率的级别进行分类。 与一个或多个逻辑分区相关联地确定一个或多个物理系统资源的性能度量。 性能度量确定在与编程中断无关的硬件级别下执行。 在其中给定的一组物理系统资源被配置用于分配到逻辑分区之一的调度窗口期间,根据所确定的与相关联的性能度量相关联的性能度量,将给定的一组物理系统资源重新分配给替换逻辑分区 替换逻辑分区和替换逻辑分区的调度窗口利用率分类。
    • 7. 发明申请
    • METHOD TO CAPTURE HARDWARE STATISTICS FOR PARTITIONS TO ENABLE DISPATCHING AND SCHEDULING EFFICIENCY
    • 收集硬件统计数据的方法,以便能够实现分配和调度效率
    • US20080244568A1
    • 2008-10-02
    • US11692276
    • 2007-03-28
    • DIANE G. FLEMMINGOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • DIANE G. FLEMMINGOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • G06F9/44
    • G06F9/45558G06F9/45541G06F11/3433G06F11/3476G06F2009/45591
    • A method, system and computer program product enables the granular collection and utilization of hardware statistical samples for the efficient scheduling and allocation of data processing resources. In particular, a Partition Statistics Capture and Analysis (PSCA) utility utilizes special purpose registers to collect statistical samples, such as: (1) instructions completed; (2) Level2 (L2) cache misses; (3) cycles per instruction (CPI); and/or (4) other statistics selected based on the programming of the PSCA utility. Further, these statistical samples are utilized for the several purposes, including: (1) determining how long (time) the footprint of a partition takes to become established during the “cold start” period, i.e., during system instantiation; (2) detecting movement of the CPI curve in order to determine the (shifted) location of the onset of steady state (i.e., the knee) on the CPI curve; and (3) utilizing the statistical samples to guide dispatch decisions and make tuning recommendations.
    • 一种方法,系统和计算机程序产品能够对硬件统计样本进行粒度收集和利用,从而有效地调度和分配数据处理资源。 特别地,分区统计捕获和分析(PSCA)实用程序利用专用寄存器来收集统计样本,例如:(1)指令完成; (2)Level2(L2)缓存未命中; (3)每个指令周期(CPI); 和/或(4)基于PSCA实用程序的编程选择的其他统计信息。 此外,这些统计样本用于多个目的,包括:(1)确定在“冷启动”时段期间,即在系统实例化期间,分区的占用面积需要多长时间(时间)建立; (2)检测CPI曲线的移动,以便确定在CPI曲线上稳定状态(即膝盖)的起始位置(偏移)位置; 和(3)利用统计样本来指导调度决策和调整建议。
    • 10. 发明授权
    • Capturing hardware statistics for partitions to enable dispatching and scheduling efficiency
    • 捕获分区的硬件统计信息,以实现调度和调度效率
    • US08219995B2
    • 2012-07-10
    • US11692276
    • 2007-03-28
    • Diane G. FlemmingOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • Diane G. FlemmingOctavian F. HerescuWilliam A. MaronMysore S. Srinivas
    • G06F9/46
    • G06F9/45558G06F9/45541G06F11/3433G06F11/3476G06F2009/45591
    • A method, system and computer program product enables the granular collection and utilization of hardware statistical samples for the efficient scheduling and allocation of data processing resources. In particular, a Partition Statistics Capture and Analysis (PSCA) utility utilizes special purpose registers to collect statistical samples, such as: (1) instructions completed; (2) Level2 (L2) cache misses; (3) cycles per instruction (CPI); and/or (4) other statistics selected based on the programming of the PSCA utility. Further, these statistical samples are utilized for the several purposes, including: (1) determining how long (time) the footprint of a partition takes to become established during the “cold start” period, i.e., during system instantiation; (2) detecting movement of the CPI curve in order to determine the (shifted) location of the onset of steady state (i.e., the knee) on the CPI curve; and (3) utilizing the statistical samples to guide dispatch decisions and make tuning recommendations.
    • 一种方法,系统和计算机程序产品能够对硬件统计样本进行粒度收集和利用,从而有效地调度和分配数据处理资源。 特别地,分区统计捕获和分析(PSCA)实用程序利用专用寄存器来收集统计样本,例如:(1)指令完成; (2)Level2(L2)缓存未命中; (3)每个指令周期(CPI); 和/或(4)基于PSCA实用程序的编程选择的其他统计信息。 此外,这些统计样本用于多个目的,包括:(1)确定在“冷启动”时段期间,即在系统实例化期间,分区的占用面积需要多长时间(时间)建立; (2)检测CPI曲线的移动,以便确定在CPI曲线上稳定状态(即膝盖)的起始位置(偏移)位置; 和(3)利用统计样本来指导调度决策和调整建议。