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    • 6. 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。
    • 8. 发明申请
    • AFFINITY DISPATCHING LOAD BALANCER WITH PRECISE CPU CONSUMPTION DATA
    • 具有精确CPU消耗数据的AFFINITY DISPATCHING LOAD BALANCER
    • US20080178192A1
    • 2008-07-24
    • US12051295
    • 2008-03-19
    • Donna N. DillenbergerGreg A. DyckStephen J. HeisigBernard R. PierceDonald W. SchmidtGong Su
    • Donna N. DillenbergerGreg A. DyckStephen J. HeisigBernard R. PierceDonald W. SchmidtGong Su
    • G06F9/46
    • 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。
    • 9. 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
    • US08108875B2
    • 2012-01-31
    • US12051295
    • 2008-03-19
    • 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。