Abstract: A system for improving workload performance using data locality and workload placement may include a schedule module that schedules workloads for execution on a computing device in one or more computing devices. Also, the computing devices access a shared data storage. Further, the system may include a tracking module that maintains a data store that associates paths in the shared data storage with dispatched workloads and associates the paths with at least one computing device, wherein a dispatched workload and the at least one computing device accessed a path; and a preferred device identification module that identifies preferred computing devices in the one or more computing devices for executing undispatched workloads based on information in the data store, wherein the schedule module schedules the execution of the undispatched workloads in response to the identified preferred computing devices.

Abstract: Embodiments for managing resources in a tiered data storage system, by a processor device. In response to differing business priorities for executing workloads by a workload manager, a resource plan is generated by an administrator of the workload manager. The resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system. A time period of which a particular one of a plurality of storage tiers of the tiered data storage system is allocated for use by the respective one of the tenants is defined by an administrator, where a peak demand summed over all of tenants is allowed to exceed a total capacity of each individual one of the plurality of storage tiers.

Abstract: Embodiments for managing data stored in a tiered data storage system, by a processor device. Upon submission of a workload to a queue of workloads of a workload manager, a set of storage demands included in metadata associated with the workload is received by an optimization policy generator. A current state of each one of a plurality of storage tiers within the storage system is combined with information comprising the set of storage demands to create data scheduling and placement policies such that the optimization policy generator controls which storage tier in the tiered data storage system incoming data is written to while a scheduling logic determines at what time to dispatch at least a portion of the workload.

Abstract: A system for improving workload performance using data locality and workload placement may include a schedule module that schedules workloads for execution on a computing device in one or more computing devices. Also, the computing devices access a shared data storage. Further, the system may include a tracking module that maintains a data store that associates paths in the shared data storage with dispatched workloads and associates the paths with at least one computing device, wherein a dispatched workload and the at least one computing device accessed a path; and a preferred device identification module that identifies preferred computing devices in the one or more computing devices for executing undispatched workloads based on information in the data store, wherein the schedule module schedules the execution of the undispatched workloads in response to the identified preferred computing devices.

Abstract: Embodiments for managing resources in a tiered data storage system, by a processor device. In response to differing business priorities for executing workloads by a workload manager, a resource plan is generated by an administrator of the workload manager. The resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system. A time period of which a particular one of a plurality of storage tiers of the tiered data storage system is allocated for use by the respective one of the tenants is defined by an administrator, where a peak demand summed over all of tenants is allowed to exceed a total capacity of each individual one of the plurality of storage tiers.

Abstract: A computer system for controlling dispatching work tasks in a multi-tier storage environment. The computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.

Abstract: A computer program product for controlling dispatching work tasks in a multi-tier storage environment. A computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.

Abstract: Embodiments for managing resources in a tiered data storage system, by a processor device. In response to differing business priorities for executing workloads by a workload manager, a resource plan is generated by an administrator of the workload manager. The resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system.

Abstract: A method, a computer program product, and a computer system for controlling dispatching work tasks in a multi-tier storage environment. A computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.

Abstract: A method for controlling dispatching work tasks in a multi-tier storage environment. A computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.

Abstract: Embodiments for managing data stored in a tiered data storage system, by a processor device. Upon submission of a workload to a queue of a workload manager, a set of storage demands included in metadata associated with the workload is received by an optimization policy generator. The set of storage demands is translated, by the optimization policy generator, into data placement, migration, and deletion policies to be executed by the storage system. At least one of a plurality of storage tiers within the storage system is prepared for the workload in the queue by using current storage tier allocations and the data placement, migration, and deletion policies to restructure content in the storage tiers according to the set of storage demands prior to performing the workload.

Abstract: Embodiments for managing resources in a tiered data storage system, by a processor device. In response to differing business priorities for executing workloads by a workload manager, a resource plan is generated by an administrator of the workload manager. The resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system.

Abstract: Embodiments for managing data stored in a tiered data storage system, by a processor device. Upon submission of a workload to a queue of workloads of a workload manager, a set of storage demands included in metadata associated with the workload is received by an optimization policy generator. A current state of each one of a plurality of storage tiers within the storage system is combined with information comprising the set of storage demands to create data scheduling and placement policies such that the optimization policy generator controls which storage tier in the tiered data storage system incoming data is written to while a scheduling logic determines at what time to dispatch at least a portion of the workload.

Abstract: Embodiments for managing data stored in a tiered data storage system, by a processor device. Upon submission of a workload to a queue of a workload manager, a set of storage demands included in metadata associated with the workload is received by an optimization policy generator. The set of storage demands is translated, by the optimization policy generator, into data placement, migration, and deletion policies to be executed by the storage system. At least one of a plurality of storage tiers within the storage system is prepared for the workload in the queue by using current storage tier allocations and the data placement, migration, and deletion policies to restructure content in the storage tiers according to the set of storage demands prior to performing the workload.

Abstract: A method for controlling dispatching work tasks in a multi-tier storage environment. A computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.

Abstract: A method, a computer program product, and a computer system for controlling dispatching work tasks in a multi-tier storage environment. A computer system receives storage demands of work tasks. The computer system determines placement and migration policies for data in storage tiers in a storage system. The computer system prepares the storage tiers for meeting the storage demands of work tasks, based on the placement and migration policies. The computer system determines a state of preparation of the storage tiers for meeting the storage demands of work tasks. The computer system determines a list including work tasks that can proceed and work tasks that cannot proceed, based on the state of the preparation. The computer system modifies a schedule of the work tasks, based on the list.