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Selecting basis functions to form a regression model for cache performance

机译:选择基础函数以形成用于缓存性能的回归模型

摘要

One embodiment of the present invention provides a system that selects bases to form a regression model for cache performance. During operation, the system receives empirical data for a cache rate. The system also receives derivative constraints for the cache rate. Next, the system obtains candidate bases that satisfy the derivative constraints. For each of these candidate bases, the system: (1) computes an aggregate error E incurred using the candidate basis over the empirical data; (2) computes an instability measure I of an extrapolation fit for using the candidate basis over an extrapolation region; and then (3) computes a selection criterion F for the candidate basis, wherein F is a function of E and I. Finally, the system minimizes the selection criterion F across the candidate bases to select the basis used for the regression model.
机译:本发明的一个实施例提供一种系统,该系统选择基础以形成用于高速缓存性能的回归模型。在操作期间,系统会接收缓存率的经验数据。系统还接收高速缓存速率的派生约束。接下来,系统获得满足导数约束的候选库。对于这些候选基准中的每一个,系统:(1)使用候选基准对经验数据计算总误差E; (2)计算外推拟合的不稳定性度量I,以在外推区域上使用候选基数;然后(3)计算候选标准的选择标准F,其中F是E和I的函数。最后,系统将候选标准上的选择标准F最小化,以选择用于回归模型的基础。

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