公开(公告)号：US08473459B2

公开(公告)日：2013-06-25

申请号：US13037285

申请日：2011-02-28

申请人： Lawrence Yiumchee Chiu ,  Yang Liu ,  Matthew Joseph Kalos ,  Paul Henri Muench ,  Gail Andrea Spear

发明人： Lawrence Yiumchee Chiu ,  Yang Liu ,  Matthew Joseph Kalos ,  Paul Henri Muench ,  Gail Andrea Spear

IPC分类号： G06F17/00

CPC分类号： G06F11/3485 ,  G06F11/2071 ,  G06F11/3414 ,  G06F11/3442

摘要： 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.

摘要翻译： 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。

公开(公告)号：US08468133B2

公开(公告)日：2013-06-18

申请号：US13458714

申请日：2012-04-27

申请人： Lawrence Yiumchee Chiu ,  Yang Liu ,  Matthew Joseph Kalos ,  Paul Henri Muench ,  Gail Andrea Spear

发明人： Lawrence Yiumchee Chiu ,  Yang Liu ,  Matthew Joseph Kalos ,  Paul Henri Muench ,  Gail Andrea Spear

IPC分类号： G06F17/00

CPC分类号： G06F11/3485 ,  G06F11/2071 ,  G06F11/3414 ,  G06F11/3442

摘要： 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.

摘要翻译： 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。