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- Scheduled Maintenance
- What is a scheduled task?
- Running a Scheduled Maintenance task
- Cost Estimate tool
- Access Scheduled Maintenance
- Check the execution details of a task
- Check the execution history of a task
- Create a change request from a Scheduled Maintenance task
- Create a Request record from a Scheduled Maintenance task
- Create a schedule for a task
- Create a Scheduled Maintenance task
- Create a Scheduled Maintenance task for an asset
- Create a Scheduled Maintenance task from an open record
- Create an Incident record from a Scheduled Maintenance task
- Define the effect and details of a Scheduled Maintenance task
- Force a task to run immediately
- Schedule intervals
- Set the demand criteria for a task
- Specify incremental repetition
- Specify manual repetition
- Specify quiescent repetition
- Use expressions and Format Control only in a Scheduled Maintenance task
- Use the Cost Estimate tool
- Administrative access to Scheduled Maintenance
- Scheduled Maintenance features
- Automated task generation
- Scheduled Maintenance commands in Configuration Management
- Scheduled Maintenance exception models
- Using a Scheduled Maintenance template
- Adding Scheduled Maintenance data using expressions
- Scheduled Maintenance overhead
- Running an extra Format Control record
Scheduled Maintenance overhead
Scheduled Maintenance relies on the problem background scheduler to call into the Scheduled Maintenance code at regularly scheduled intervals. If the problem scheduler is not running, no Scheduled Maintenance tasks run. When a Scheduled Maintenance task runs, it increases the load on the problem scheduler by a marginal amount.
Scheduled Maintenance does not put a large load on your system unless you are using the Scheduled Maintenance system to generate extraordinarily large numbers of incident records, change requests, or
If a Scheduled Maintenance task creates 20,000 Incident records at 2:00 AM, the task would slow the HPE Service Manager system down somewhat. Scheduled Maintenance creates all 20,000 records consecutively, as though one user were opening 20,000 incident records consecutively. The increased load may be noticeable, but it will not be crippling.
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