Abstract: A solution for scheduling execution of jobs is proposed. In this case, a long-term plan expressed in terms of streams of jobs is created in advance (for example, for some months). An actual production plan (for a production period P(p) typically of one day) is then generated by extracting a corresponding portion of the long-term plan and expanding the streams into their jobs. In the proposed solution, a policy for the long-term plan is defined; for example, this policy specifies a minimum length L(min) and a maximum length L(max) of the long-term plan. The (remaining) length of the long-term plan is checked after each generation of the production plan; if the long-term plan is shorter than the minimum length L (min), it is expanded automatically up to the maximum length L(max).

Abstract: A method of automatically optimizing workload scheduling. Target values for workload characteristics and constraint specifications are received. Generation of a first execution plan is initiated. Initial constraint values conforming to the constraint specifications are selected. Each constraint value constrains tasks included in the workload. The first execution plan is executed, thereby determining measurements of workload characteristics. Contributions indicating differences between workload characteristic measurements and target values are determined and stored. Generation of a next execution plan is initiated. Modified constraint values conforming to the constraint specifications are selected. Changes in the workload characteristics based on the modified constraint values are evaluated. An optimal or acceptable sub-optimal solution in a space of solutions defined by the constraint specifications is determined, resulting in new values for the constraints.

Abstract: Arrangements for scheduling execution of jobs on target entities of a data processing system are disclosed. A plan can be stored that defines a flow of execution of a set of jobs. Each job can be executed on a selected target entity or a qualified entity such as a workstation with the appropriate configuration according to the plan. A set of rules may be utilized to invoke one or more actions in response to a detection of an event. Each target entity can detect one or more events. The execution of each action on a corresponding action target entity can be triggered based on a detected event.

Abstract: A solution for scheduling execution of jobs is proposed In this case, a long-term plan expressed in terms of streams of jobs is created in advance (for example, for some months). An actual production plan (for a production period P(p) typically of one day) is then generated by extracting a corresponding portion of the long-term plan and expanding the streams into their jobs. In the proposed solution, a policy for the long-term plan is defined; for examples this policy specifies a minimum length L(min) and a maximum length L(max) of the long-term plan. The (remaining) length of the long-term plan is checked after each generation of the production plan; if the long-term plan is shorter than the minimum length L(min), it is expanded automatically up to the maximum length L(max).