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    • 1. 发明授权
    • Workload learning in data replication environments
    • 数据复制环境中的工作负载学习
    • US08473459B2
    • 2013-06-25
    • US13037285
    • 2011-02-28
    • Lawrence Yiumchee ChiuYang LiuMatthew Joseph KalosPaul Henri MuenchGail Andrea Spear
    • Lawrence Yiumchee ChiuYang LiuMatthew Joseph KalosPaul Henri MuenchGail Andrea Spear
    • G06F17/00
    • G06F11/3485G06F11/2071G06F11/3414G06F11/3442
    • A method for replicating I/O performance in data replication environments, such as PPRC environments, is described. In selected embodiments, such a method includes monitoring I/O workload at a primary storage device over a period of time, such as a period of hours, days, or months. The method then generates learning data at the primary storage device describing the I/O workload over the selected time period. The learning data is replicated from the primary storage device to a secondary storage device. The method uses the learning data to optimize the secondary storage device to handle the I/O workload of the primary storage device. This will enable the secondary storage device to provide substantially the same I/O performance as the primary storage device in the event a failover occurs. A corresponding system and computer program product are also disclosed and claimed herein.
    • 描述了在数据复制环境(如PPRC环境)中复制I / O性能的方法。 在所选择的实施例中,这种方法包括在一段时间(例如,几个小时,几天或几个月的时间段)监视主存储设备处的I / O工作负载。 然后,该方法在主存储设备上在所选择的时间段内生成描述I / O工作负载的学习数据。 学习数据从主存储设备复制到辅助存储设备。 该方法使用学习数据优化辅助存储设备来处理主存储设备的I / O工作负载。 在发生故障转移的情况下,这将使辅助存储设备能够提供与主存储设备基本相同的I / O性能。 本文还公开并要求对应的系统和计算机程序产品。