Abstract: In mainframe computer system, workload tasks are accomplished using a logically partitioned data processing system, where the partitioned data processing system is divided into multiple logical partitions. In a system and method managing such a computer system, each running workload tasks that can be classified based on time criticality, and groups of logical partitions can be freely defined. Processing capacity limits for the logical partitions in a group of logical partitions based upon defined processing capacity thresholds and upon an iterative determination of how much capacity is needed for time critical workload tasks. Workload can be balanced between logical partitions within a group, to prevent surplus processing capacity being used to run not time critical workload on one logical partition when another logical partition running only time critical workload tasks faces processing deficit.

Abstract: In a system and method for managing mainframe computer usage, preferred values for service class defined performance goals are determined to optimize workload performance in service classes across a logical partition. A method for managing mainframe computer system usage can include receiving a performance optimization goal for workload performance in a service class, the service class having a defined performance goal. Achievement of the performance optimization goal is assessed, and a preferred value for the defined performance goal is determined based on assessing achievement of the performance optimization goal. Workload criticality can be taken into account, and automatic changes to the performance goal authorized.

Abstract: In a system and method for managing mainframe computer usage, preferred values for service class defined performance goals are determined to optimize workload performance in service classes across a logical partition. A method for managing mainframe computer system usage can include receiving a performance optimization goal for workload performance in a service class, the service class having a defined performance goal. Achievement of the performance optimization goal is assessed, and a preferred value for the defined performance goal is determined based on assessing achievement of the performance optimization goal. Workload criticality can be taken into account, and automatic changes to the performance goal authorized.

Abstract: In a system and method for managing mainframe computer usage, preferred values for service class defined performance goals are determined to optimize workload performance in service classes across a logical partition. A method for managing mainframe computer system usage can include receiving a performance optimization goal for workload performance in a service class, the service class having a defined performance goal. Achievement of the performance optimization goal is assessed, and a preferred value for the defined performance goal is determined based on assessing achievement of the performance optimization goal. Workload criticality can be taken into account, and automatic changes to the performance goal authorized.

Abstract: In mainframe computer system, workload tasks are accomplished using a logically partitioned data processing system, where the partitioned data processing system is divided into multiple logical partitions. In a system and method managing such a computer system, each running workload tasks that can be classified based on time criticality, and groups of logical partitions can be freely defined. Processing capacity limits for the logical partitions in a group of logical partitions based upon defined processing capacity thresholds and upon an iterative determination of how much capacity is needed for time critical workload tasks. Workload can be balanced between logical partitions within a group, to prevent surplus processing capacity being used to run not time critical workload on one logical partition when another logical partition running only time critical workload tasks faces processing deficit.

Abstract: In a system and method for managing mainframe computer usage, preferred values for service class defined performance goals are determined to optimize workload performance in service classes across a logical partition. A method for managing mainframe computer system usage can include receiving a performance optimization goal for workload performance in a service class, the service class having a defined performance goal. Achievement of the performance optimization goal is assessed, and a preferred value for the defined performance goal is determined based on assessing achievement of the performance optimization goal. Workload criticality can be taken into account, and automatic changes to the performance goal authorized.

Abstract: In a system and method for managing mainframe computer usage, preferred values for service class defined performance goals are determined to optimize workload performance in service classes across a logical partition. A method for managing mainframe computer system usage can include receiving a performance optimization goal for workload performance in a service class, the service class having a defined performance goal. Achievement of the performance optimization goal is assessed, and a preferred value for the defined performance goal is determined based on assessing achievement of the performance optimization goal. Workload criticality can be taken into account, and automatic changes to the performance goal authorized.

Abstract: In mainframe computer system, workload tasks are accomplished using a logically partitioned data processing system, where the partitioned data processing system is divided into multiple logical partitions. In a system and method managing such a computer system, each running workload tasks that can be classified based on time criticality, and groups of logical partitions can be freely defined. Processing capacity limits for the logical partitions in a group of logical partitions based upon defined processing capacity thresholds and upon an iterative determination of how much capacity is needed for time critical workload tasks. Workload can be balanced between logical partitions within a group, to prevent surplus processing capacity being used to run not time critical workload on one logical partition when another logical partition running only time critical workload tasks faces processing deficit.