Abstract: An approach for managing data set access based on data set relevance. The approach monitors data set access activities associated with a user. The approach detects access of a first data set by the user. The approach determines a group of data sets associated with the first data set based on a data set mapping associated with the user. The approach recalls one or more data sets of the group of data sets from a slower storage device to a faster storage device.

Abstract: An approach for managing data set access based on data set relevance. The approach monitors data set access activities associated with a user. The approach detects access of a first data set by the user. The approach determines a group of data sets associated with the first data set based on a data set mapping associated with the user. The approach recalls one or more data sets of the group of data sets from a slower storage device to a faster storage device.

Abstract: In an embodiment, a computer-implemented method comprises deploying a dual-active database on a first active database site and a second active database site. The first active database site comprises a first group of disks including a first sub-group of disks and a second sub-group of disks respectively corresponding to a third sub-group of disks and a fourth sub-group of disks included in a second group of disks in the second active database site. The method further comprises storing a first set of database logs on the first sub-group of disks while a second set of database logs is being written on the second sub-group of disks. Contents of the second set of database logs are consistent with contents of the first set of database logs and function as a duplication of the first set of database logs.

Abstract: A method and system for predicting a response time for a workload prior to making a hardware upgrade to a computing system. Data related to operation of the system is collected. Then a workload model of a plurality of workloads and CPU utilization for the plurality of workloads and a transaction model for each transaction within a workload of the plurality of workloads are built. Next the process determines that a characteristic of at least one workload in the plurality of workloads will change due to the hardware upgrade. As a result of the change, a new workload model for the changed workload is built based on the changed characteristic, and the response time for the workload based on the new workload model is calculated.

Abstract: A job is received. The job indicates moving one or more data to a pool storage group (PSG). The job includes resource requirements and the resource requirements include a size requirement to store the one or more data and a volume requirement to store the one or more data. A resource availability of the PSG is received. The resource availability of the PSG includes an available space on the PSG and one or more available volume on the PSG. Whether the resource availability of the PSG meets the resource requirements of the job is determined. Whether the PSG has a dynamic pool storage group (DPSG) flag indication on is determined.