发明授权
- 专利标题: Workload learning in data replication environments
- 专利标题(中): 数据复制环境中的工作负载学习
-
申请号: US13037285申请日: 2011-02-28
-
公开(公告)号: US08473459B2公开(公告)日: 2013-06-25
- 发明人: Lawrence Yiumchee Chiu , Yang Liu , Matthew Joseph Kalos , Paul Henri Muench , Gail Andrea Spear
- 申请人: Lawrence Yiumchee Chiu , Yang Liu , Matthew Joseph Kalos , Paul Henri Muench , Gail Andrea Spear
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Nelson and Nelson
- 代理商 Daniel P. Nelson; Alexis V. Nelson
- 主分类号: G06F17/00
- IPC分类号: G06F17/00
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.
公开/授权文献
- US20120221521A1 WORKLOAD LEARNING IN DATA REPLICATION ENVIRONMENTS 公开/授权日:2012-08-30
信息查询