METHOD FOR MODELING A FREE POOL OF RESOURCES
    2.
    发明申请
    METHOD FOR MODELING A FREE POOL OF RESOURCES 审中-公开
    建立一个免费的资源池的方法

    公开(公告)号:WO2007082814B1

    公开(公告)日:2007-10-18

    申请号:PCT/EP2007050156

    申请日:2007-01-08

    CPC classification number: G06F9/5077

    Abstract: The invention comprises a computer-implemented process for managing computing resources provided to customers in an on-demand data center. The process comprises: providing a shared computing environment; providing to each customer one or more logical partitions of computing resources within the shared computing environment; allocat ing at least one processing engine to each logical partition; modeling a selected customer's resource utilization as a beta distribution; iteratively select ing a random resource utilization value from the beta distribution and, for each logical partition, calculating a processing engine differential; for each iteration, calculating a collective processing engine differential until the collective processing engine differential converges on an optimal processing engine differential; and adjusting the number of processing engines by the optimal processing engine differential to achieve an optimal free pool size.

    Abstract translation: 本发明包括用于管理在按需数据中心中向客户提供的计算资源的计算机实现的过程。 该过程包括:提供共享计算环境; 向每个客户提供共享计算环境内的计算资源的一个或多个逻辑分区; 将至少一个处理引擎分配给每个逻辑分区; 将选定客户的资源利用率建模为beta分布; 迭代地从β分布选择随机资源利用值,并且对于每个逻辑分区,计算处理引擎差分; 对于每次迭代,计算集体处理引擎差分,直到集体处理引擎差分收敛于最佳处理引擎差分; 并通过最佳处理引擎差异来调整处理引擎的数量以实现最佳空闲池大小。

    METHOD FOR MODELING A FREE POOL OF RESOURCES
    3.
    发明申请
    METHOD FOR MODELING A FREE POOL OF RESOURCES 审中-公开
    建立自由资源池的方法

    公开(公告)号:WO2007082814A2

    公开(公告)日:2007-07-26

    申请号:PCT/EP2007/050156

    申请日:2007-01-08

    CPC classification number: G06F9/5077

    Abstract: The invention comprises a computer-implemented process for managing computing resources provided to customers in an on-demand data center. The process comprises: providing a shared computing environment; providing to each customer one or more logical partitions of computing resources within the shared computing environment; allocat ing at least one processing engine to each logical partition; modeling a selected customer's resource utilization as a beta distribution; iteratively select ing a random resource utilization value from the beta distribution and, for each logical partition, calculating a processing engine differential; for each iteration, calculating a collective processing engine differential until the collective processing engine differential converges on an optimal processing engine differential; and adjusting the number of processing engines by the optimal processing engine differential to achieve an optimal free pool size.

    Abstract translation: 本发明包括一种用于管理按需数据中心向客户提供的计算资源的计算机实现过程。 该过程包括:提供共享的计算环境; 向所述客户提供所述共享计算环境内的计算资源的一个或多个逻辑分区; 将至少一个处理引擎分配给每个逻辑分区; 将所选客户的资源利用率建模为beta分布; 迭代地从β分布中选择随机资源利用值,并且对于每个逻辑分区,计算处理引擎差异; 对于每个迭代,计算集体处理引擎差分,直到集体处理引擎差异收敛于最优处理引擎差异; 以及通过最佳处理引擎差异来调整处理引擎的数量以实现最佳的可用池大小。

    METHOD FOR MODELING A FREE POOL OF RESOURCES

    公开(公告)号:WO2007082814A3

    公开(公告)日:2007-08-30

    申请号:PCT/EP2007050156

    申请日:2007-01-08

    CPC classification number: G06F9/5077

    Abstract: The invention comprises a computer-implemented process for managing computing resources provided to customers in an on-demand data center. The process comprises: providing a shared computing environment; providing to each customer one or more logical partitions of computing resources within the shared computing environment; allocat ing at least one processing engine to each logical partition; modeling a selected customer's resource utilization as a beta distribution; iteratively select ing a random resource utilization value from the beta distribution and, for each logical partition, calculating a processing engine differential; for each iteration, calculating a collective processing engine differential until the collective processing engine differential converges on an optimal processing engine differential; and adjusting the number of processing engines by the optimal processing engine differential to achieve an optimal free pool size.

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