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System and method for performing automatic rejuvenation at the optimal time based on work load history in a distributed data processing environment
System and method for performing automatic rejuvenation at the optimal time based on work load history in a distributed data processing environment
In a method for automatically rejuvenating a component of a distributed data processing environment while minimizing the disruptive effects of the rejuvenation, a usage history for a distributed data processing environment is stored. The usage history describes multiple levels of overall usage of the distributed data processing environment over time. Also, health data relating to at least one component of the distributed data processing environment is received, and, in response, the health data is automatically utilized to determine a failure time within which that component is likely to require rejuvenation. In response to determining the failure time, the usage history is automatically utilized to identify an optimum rejuvenation time. In response to identifying the optimum rejuvenation time, that component is automatically rejuvenated according to the optimum rejuvenation time. In an illustrative embodiment, the optimum rejuvenation time is identified by ascertaining a minimum level of overall usage within the failure time. The usage time that corresponds to the minimum level is utilized as the optimum rejuvenation time.
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