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1.发明授权Method and system for predicting performance of software applications on prospective hardware architecture 有权用于预测软件应用程序在预期硬件架构上的性能的方法和系统公开(公告)号：US09208053B2
公开(公告)日：2015-12-08
申请号：US14334034
申请日：2014-07-17
Applicant: Yahoo! Inc.
Inventor： Arun Kejariwal , Paolo D'Alberto , Sapan Panigrahi , Rosario Cammarota
CPC classification number: G06F11/3447 , G06F11/3409 , G06F11/3419 , G06F11/3442 , G06F11/3466 , G06F2201/81 , G06F2201/83 , G06F2201/86 , G06F2201/865 , G06F2201/88
Abstract: A system and method for identifying optimal system architectures for a reference application are provided. The system and method comprise executing a reference application and a plurality of test applications on a current system architecture and sampling performance data for each of the applications. The performance data is used to compute an application signature for each application. A similarity element is derived from the application signatures that illustrates the similarity between each application and every other application. Using a similarity threshold and an algorithm, a subset of test applications that are similar to the reference application are derived.
Abstract translation: 提供了一种用于识别参考应用的最佳系统架构的系统和方法。 该系统和方法包括在当前系统架构上执行参考应用和多个测试应用，并针对每个应用采样性能数据。 性能数据用于计算每个应用程序的应用程序签名。 相似性元素从应用程序签名中得出，该签名说明了每个应用程序和每个其他应用程序之间的相似性。 使用相似性阈值和算法，推导出与参考应用程序相似的测试应用程序子集。
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2.发明申请公开(公告)号：US20140350912A1
公开(公告)日：2014-11-27
申请号：US14334034
申请日：2014-07-17
Applicant: Yahoo! Inc.
Inventor： Arun Kejariwal , Paolo D'Alberto , Sapan Panigrahi , Rosario Cammarota
IPC: G06F11/34
CPC classification number: G06F11/3447 , G06F11/3409 , G06F11/3419 , G06F11/3442 , G06F11/3466 , G06F2201/81 , G06F2201/83 , G06F2201/86 , G06F2201/865 , G06F2201/88
Abstract: A system and method for identifying optimal system architectures for a reference application are provided. The system and method comprise executing a reference application and a plurality of test applications on a current system architecture and sampling performance data for each of the applications. The performance data is used to compute an application signature for each application. A similarity element is derived from the application signatures that illustrates the similarity between each application and every other application. Using a similarity threshold and an algorithm, a subset of test applications that are similar to the reference application are derived.
Abstract translation: 提供了一种用于识别参考应用的最佳系统架构的系统和方法。 该系统和方法包括在当前系统架构上执行参考应用和多个测试应用，并针对每个应用采样性能数据。 性能数据用于计算每个应用程序的应用程序签名。 相似性元素从应用程序签名中得出，该签名说明了每个应用程序和每个其他应用程序之间的相似性。 使用相似性阈值和算法，推导出与参考应用程序相似的测试应用程序子集。
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