Goal oriented performance management of workload utilizing accelerators
    2.
    发明授权
    Goal oriented performance management of workload utilizing accelerators 有权
    面向目标的绩效管理工作负载利用加速器

    公开(公告)号:US08869160B2

    公开(公告)日:2014-10-21

    申请号:US12647272

    申请日:2009-12-24

    Abstract: A method, information processing system, and computer readable storage medium are provided for dynamically managing accelerator resources. A first set of hardware accelerator resources is initially assigned to a first information processing system, and a second set of hardware accelerator resources is initially assigned to a second information processing system. Jobs running on the first and second information processing systems are monitored. When one of the jobs fails to satisfy a goal, at least one hardware accelerator resource in the second set of hardware accelerator resources from the second information processing system are dynamically reassigned to the first information processing system.

    Abstract translation: 提供了一种用于动态管理加速器资源的方法,信息处理系统和计算机可读存储介质。 首先将第一组硬件加速器资源分配给第一信息处理系统,并且将第二组硬件加速器资源分配给第二信息处理系统。 监视在第一和第二信息处理系统上运行的作业。 当其中一个作业不能满足目的时,来自第二信息处理系统的第二组硬件加速器资源中的至少一个硬件加速器资源被动态地重新分配给第一信息处理系统。

    GOAL ORIENTED PERFORMANCE MANAGEMENT OF WORKLOAD UTILIZING ACCELERATORS
    3.
    发明申请
    GOAL ORIENTED PERFORMANCE MANAGEMENT OF WORKLOAD UTILIZING ACCELERATORS 有权
    使用加速器的工作负荷的目标性能绩效管理

    公开(公告)号:US20110161972A1

    公开(公告)日:2011-06-30

    申请号:US12647272

    申请日:2009-12-24

    Abstract: A method, information processing system, and computer readable storage medium are provided for dynamically managing accelerator resources. A first set of hardware accelerator resources is initially assigned to a first information processing system, and a second set of hardware accelerator resources is initially assigned to a second information processing system. Jobs running on the first and second information processing systems are monitored. When one of the jobs fails to satisfy a goal, at least one hardware accelerator resource in the second set of hardware accelerator resources from the second information processing system are dynamically reassigned to the first information processing system.

    Abstract translation: 提供了一种用于动态管理加速器资源的方法,信息处理系统和计算机可读存储介质。 首先将第一组硬件加速器资源分配给第一信息处理系统,并且将第二组硬件加速器资源分配给第二信息处理系统。 监视在第一和第二信息处理系统上运行的作业。 当其中一个作业不能满足目标时,来自第二信息处理系统的第二组硬件加速器资源中的至少一个硬件加速器资源被动态地重新分配给第一信息处理系统。

    Method and apparatus of capacity learning for computer systems and applications
    4.
    发明申请
    Method and apparatus of capacity learning for computer systems and applications 有权
    计算机系统和应用的能力学习方法和装置

    公开(公告)号:US20060287739A1

    公开(公告)日:2006-12-21

    申请号:US11157090

    申请日:2005-06-20

    CPC classification number: G06F11/3409

    Abstract: The present invention provides a method of determining a metric of capacity in computing systems and computer applications. Capacity in this sense refers to the ability of computer systems and computer applications to perform work. Many applications and multi-hop system strategies could benefit from understanding the amount of work a particular system or application is capable of performing. A metric such as this can be very difficult to calculate due to widely varying system hardware, operating system architectures; application behavior/performance, etc. This disclosure describes a method of dynamic capacity estimation which learns the capacity of an application or system with respect to the work asked of the system and the resources used by the application in question.

    Abstract translation: 本发明提供一种确定计算系统和计算机应用中的容量度量的方法。 在这个意义上的能力是指计算机系统和计算机应用程序执行工作的能力。 许多应用程序和多跳系统策略可以从理解特定系统或应用程序能够执行的工作量获益。 由于广泛变化的系统硬件,操作系统架构,这样的度量可能非常难以计算; 应用行为/性能等。本公开描述了一种动态容量估计的方法,其学习应用或系统相对于系统询问的工作的能力以及所讨论的应用所使用的资源的能力。

    Apparatus of capacity learning for computer systems and applications
    5.
    发明授权
    Apparatus of capacity learning for computer systems and applications 有权
    计算机系统和应用的能力学习装置

    公开(公告)号:US07941293B2

    公开(公告)日:2011-05-10

    申请号:US12137953

    申请日:2008-06-12

    CPC classification number: G06F11/3409

    Abstract: The present invention provides a system for determining a metric of capacity in computing systems and computer applications. Capacity in this sense refers to the ability of computer systems and computer applications to perform work. Many applications and multi-hop system strategies could benefit from understanding the amount of work a particular system or application is capable of performing. A metric such as this can be very difficult to calculate due to widely varying system hardware, operating system architectures, and application behavior/performance.

    Abstract translation: 本发明提供一种用于确定计算系统和计算机应用中的容量度量的系统。 在这个意义上的能力是指计算机系统和计算机应用程序执行工作的能力。 许多应用程序和多跳系统策略可以从理解特定系统或应用程序能够执行的工作量获益。 由于广泛变化的系统硬件,操作系统架构和应用程序行为/性能,这样的度量可能非常难以计算。

    APPARATUS OF CAPACITY LEARNING FOR COMPUTER SYSTEMS AND APPLICATIONS
    6.
    发明申请
    APPARATUS OF CAPACITY LEARNING FOR COMPUTER SYSTEMS AND APPLICATIONS 有权
    计算机系统和应用能力学习的设备

    公开(公告)号:US20080249746A1

    公开(公告)日:2008-10-09

    申请号:US12137953

    申请日:2008-06-12

    CPC classification number: G06F11/3409

    Abstract: The present invention provides a system for determining a metric of capacity in computing systems and computer applications. Capacity in this sense refers to the ability of computer systems and computer applications to perform work. Many applications and multi-hop system strategies could benefit from understanding the amount of work a particular system or application is capable of performing. A metric such as this can be very difficult to calculate due to widely varying system hardware, operating system architectures, and application behavior/performance.

    Abstract translation: 本发明提供一种用于确定计算系统和计算机应用中的容量度量的系统。 在这个意义上的能力是指计算机系统和计算机应用程序执行工作的能力。 许多应用程序和多跳系统策略可以从理解特定系统或应用程序能够执行的工作量获益。 由于广泛变化的系统硬件,操作系统架构和应用程序行为/性能,这样的度量可能非常难以计算。

    Apparatus and method for determining load balancing weights using application instance statistical information
    8.
    发明申请
    Apparatus and method for determining load balancing weights using application instance statistical information 失效
    使用应用实例统计信息确定负载均衡权重的装置和方法

    公开(公告)号:US20050120095A1

    公开(公告)日:2005-06-02

    申请号:US10725635

    申请日:2003-12-02

    CPC classification number: H04L67/1008 H04L67/1002 H04L67/101 H04L67/1023

    Abstract: An apparatus and method for distributing traffic across a group of machines using application instance statistics. In order to perform load balancing in accordance with the present invention, a method of generating weights to bias load balancing distributions is provided. The application instances to which traffic is being distributed, or the application middleware, are instrumented to establish certain metrics about the application while running. The application instance instrumentation will provide application statistics such as number of successful transactions, application response times, application topology, importance of transactions being processed, time the application is blocked waiting for resources, resource consumption data, and the like. These metrics are collected, processed, and then presented as a set of weights to the load balancing apparatus to govern its distribution of traffic. With such application metrics available, traffic can be disbursed based on the current state of the application instances and other application instances in the transaction's path, the application instance's likelihood to complete the request, or even higher level business-oriented goals.

    Abstract translation: 一种用于使用应用程序实例统计信息在一组机器上分配流量的装置和方法。 为了根据本发明执行负载平衡,提供了一种产生权重以偏置负载均衡分布的方法。 要分发流量的应用程序实例或应用程序中间件被运行,以便在运行时建立应用程序的某些指标。 应用程序实例仪器将提供应用程序统计信息,例如成功事务的数量,应用程序响应时间,应用程序拓扑,正在处理的事务的重要性,应用程序被阻止等待资源的时间,资源消耗数据等。 这些度量被收集,处理,然后作为一组权重呈现给负载平衡装置以管理其流量分布。 通过这种应用指标,可以根据交易路径中应用程序实例和其他应用程序实例的当前状态,应用程序实例完成请求的可能性,甚至更高级别的面向业务的目标来支付流量。

    Method and apparatus of capacity learning for computer systems and applications
    9.
    发明授权
    Method and apparatus of capacity learning for computer systems and applications 有权
    计算机系统和应用的能力学习方法和装置

    公开(公告)号:US07392159B2

    公开(公告)日:2008-06-24

    申请号:US11157090

    申请日:2005-06-20

    CPC classification number: G06F11/3409

    Abstract: The present invention provides a method of determining a metric of capacity in computing systems and computer applications. Capacity in this sense refers to the ability of computer systems and computer applications to perform work. Many applications and multi-hop system strategies could benefit from understanding the amount of work a particular system or application is capable of performing. A metric such as this can be very difficult to calculate due to widely varying system hardware, operating system architectures; application behavior/performance, etc. This disclosure describes a method of dynamic capacity estimation which learns the capacity of an application or system with respect to the work asked of the system and the resources used by the application in question.

    Abstract translation: 本发明提供一种确定计算系统和计算机应用中的容量度量的方法。 在这个意义上的能力是指计算机系统和计算机应用程序执行工作的能力。 许多应用程序和多跳系统策略可以从理解特定系统或应用程序能够执行的工作量获益。 由于广泛变化的系统硬件,操作系统架构,这样的度量可能非常难以计算; 应用行为/性能等。本公开描述了一种动态容量估计的方法,其学习应用或系统相对于系统询问的工作的能力以及所讨论的应用所使用的资源的能力。

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