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    • 91. 发明授权
    • I/O generation responsive to a workload heuristics algorithm
    • 响应于工作负载启发式算法的I / O生成
    • US06792483B2
    • 2004-09-14
    • US09966199
    • 2001-09-28
    • Donald W. Schmidt
    • Donald W. Schmidt
    • G06F300
    • G06F3/0601G06F2003/0697
    • An apparatus, method and program product for use with a data processing system having a processor handling an I/O request in an I/O operation, main storage controlled by said processor for storing data, one or more I/O devices for sending data to or receiving data from said main storage in the I/O operation, and a summary register for registering I/O requests by any one or more of said devices. The apparatus includes a dispatcher for polling said summary register to determine if an I/O request is outstanding. A program in the dispatcher calculates a delay value responsive to the workload of the processor in handling I/O requests. An adapter between the device and the processor drives an interrupt of the processor if the calculated time delay is exceeded between completing I/O requests.
    • 一种用于具有处理I / O操作中的I / O请求的处理器的数据处理系统的装置,方法和程序产品,由所述处理器控制的用于存储数据的主存储,用于发送数据的一个或多个I / O设备 在I / O操作中从所述主存储器接收或接收数据,以及用于由任何一个或多个所述设备注册I / O请求的汇总寄存器。 该装置包括用于轮询所述汇总寄存器以确定I / O请求是否未完成的调度器。 调度员中的程序根据处理器处理I / O请求的工作负载来计算延迟值。 如果在完成I / O请求之间超过计算的时间延迟,设备和处理器之间的适配器将驱动处理器的中断。
    • 94. 发明授权
    • Unified, workload-optimized, adaptive RAS for hybrid systems
    • 用于混合系统的统一的,工作负载优化的自适应RAS
    • US08788871B2
    • 2014-07-22
    • US13170453
    • 2011-06-28
    • Rajaram B. KrishnamurthyCarl J. ParrisDonald W. SchmidtBenjamin P. Segal
    • Rajaram B. KrishnamurthyCarl J. ParrisDonald W. SchmidtBenjamin P. Segal
    • G06F11/00
    • G06F9/50G06F11/008G06F11/1645G06F11/188
    • A method, system, and computer program product for maintaining reliability in a computer system. In an example embodiment, the method includes performing a first data computation by a first set of processors, the first set of processors having a first computer processor architecture. The method continues by performing a second data computation by a second processor coupled to the first set of processors, the second processor having a second computer processor architecture, the first computer processor architecture being different than the second computer processor architecture. Finally, the method includes dynamically allocating computational resources of the first set of processors and the second processor based on at least one metric while the first set of processors and the second processor are in operation such that the accuracy and processing speed of the first data computation and the second data computation are optimized.
    • 一种用于在计算机系统中维持可靠性的方法,系统和计算机程序产品。 在示例实施例中,该方法包括由第一组处理器执行第一数据计算,第一组处理器具有第一计算机处理器架构。 该方法通过由耦合到第一组处理器的第二处理器执行第二数据计算而继续,第二处理器具有第二计算机处理器架构,第一计算机处理器架构不同于第二计算机处理器架构。 最后,该方法包括在第一组处理器和第二处理器运行时基于至少一个度量来动态分配第一组处理器和第二处理器的计算资源,使得第一数据计算的精度和处理速度 并且第二数据计算被优化。
    • 99. 发明授权
    • Affinity dispatching load balancer with precise CPU consumption data
    • 亲和调度负载平衡器,具有精确的CPU消耗数据
    • US07941805B2
    • 2011-05-10
    • US11504155
    • 2006-08-15
    • Donna N. DillenbergerGreg A. DyckStephen J. HeisigBernard R. PierceDonald W. SchmidtGong Su
    • Donna N. DillenbergerGreg A. DyckStephen J. HeisigBernard R. PierceDonald W. SchmidtGong Su
    • G06F9/46G06F15/173
    • G06F9/505G06F2209/5022
    • A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
    • 用于在处理器网络中的多个处理节点上分布多个任务的计算机实现的方法包括以下步骤:计算任务的任务过程消耗值; 计算节点的测量节点处理器消耗值; 计算节点的目标节点处理器消耗值,目标节点处理器消耗值指示最佳节点处理器消耗; 计算负载指标值作为节点i的计算节点处理器消耗值与节点i的目标节点处理器消耗值之间的差值; 并且根据所计算的负载指数值,在所述节点之间分配所述任务以平衡所述节点之间的处理器工作负荷,使得所计算的每个节点的负载指数值基本为零。 该方法进一步体现了多维平衡矩阵,矩阵的每个维度表示对应于不同处理器类型的节点,每个小区表示分配给多个节点的任务。