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    • 4. 发明授权
    • Policy decision stash for storage lifecycle management
    • 存储生命周期管理的策略决策
    • US08315993B2
    • 2012-11-20
    • US11129275
    • 2005-05-13
    • Marc Adam Kaplan
    • Marc Adam Kaplan
    • G06F7/00G06F17/00
    • G06F17/30085
    • There is provided, in a computer processing system, an apparatus for storage lifecycle management for a plurality of managed objects. The apparatus includes a policy decision manager for creating and managing a policy decision stash. The policy decision stash is associated with predictive policy decisions for the plurality of managed objects and is configured to allow the predictive policy decisions for the plurality of managed objects to be incrementally updated and accessed in the policy decision stash by a policy identifier and an effective timestamp.
    • 在计算机处理系统中提供了一种用于多个管理对象的存储生命周期管理的装置。 该设备包括用于创建和管理策略决策存储的策略决策管理器。 策略决策存储与多个被管理对象的预测策略决定相关联,并且被配置为允许在策略确定存储空间中通过策略标识符和有效时间戳来增量更新和访问多个被管理对象的预测策略决策 。
    • 8. 发明申请
    • Dynamic Online Multi-Parameter Optimization System and Method for Autonomic Computing Systems
    • 动态在线多参数优化系统和自动计算系统的方法
    • US20080221858A1
    • 2008-09-11
    • US12126291
    • 2008-05-23
    • Saurabh BagchiRajarshi DasYixin DiaoMarc Adam KaplanJeffrey Owen Kephart
    • Saurabh BagchiRajarshi DasYixin DiaoMarc Adam KaplanJeffrey Owen Kephart
    • G06F9/45
    • G06F11/3447G06F11/3409G06F11/3452G06F2201/81G06F2201/86
    • An improved method and system for performing dynamic online multi-parameter optimization for autonomic computing systems are provided. With the method and system of the present invention, a simplex, i.e. a set of points in the parameter space that has been directly sampled, is maintained. The system's performance with regard to a particular utility value is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. The method and system provide mechanisms for limiting the size of the simplex that is generated through these geometric transformations so that the present invention may be implemented in noisy environments in which the same configuration settings may lead to different results with regard to the utility value. In addition, mechanisms are provided for resampling a current best point in the simplex to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, then rather than contracting, the simplex is expanded. If the difference between utility values is not sufficient enough, then contraction of the simplex is performed. In addition, in order to allow for both real and integer valued parameters in the simplex, a mechanism is provided by which invalid valued parameters that are generated by geometric transformations being performed on the simplex are mapped to a nearest valid value. Similarly, parameter values that violate constraints are mapped to values that satisfy constraints taking care that the dimensionality of the simplex is not reduced.
    • 提供了一种用于自动计算系统执行动态在线多参数优化的改进方法和系统。 利用本发明的方法和系统,维持单纯形,即直接采样的参数空间中的一组点。 关于特定效用值的系统的性能是针对与单工中的每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 该方法和系统提供了用于限制通过这些几何变换产生的单工的尺寸的机制,使得本发明可以在噪声环境中实现,其中相同的配置设置可能导致关于效用值的不同结果。 此外,还提供了用于对单纯形中当前最佳点进行重新采样以确定环境是否已更改的机制。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值,则而不是收缩,则单纯形被扩展。 如果效用值之间的差异不足够,则单纯形的收缩被执行。 此外,为了允许单纯形中的实数和整数值参数,提供了一种机制,通过这种机制,通过在单纯形上执行的几何变换生成的无效值参数被映射到最接近的有效值。 类似地,违反约束的参数值被映射到满足约束的值,注意单纯形的维度不会减小。