Abstract: A method and computer that reduces ABENDs due to end of volume encounters of a job. The method provides an extend-to-new volume processing in response to such encounters. The method permits the definition of primary storage groups and extend storage groups and allows the linking of an extend storage group to a primary storage group. When the job encounters an end-of-volume condition on the current storage volume and is further unable to extend to a new volume in the primary storage group, the method then tries to find a new volume in one or more extend storage groups that are linked to that primary storage group. If no new volume can be found in an extend storage group, an ABEND process is performed.

Abstract: A computer system that includes a computer and a storage system. The storage system includes a plurality of storage resources, each of which includes one or more storage volumes. Data sets are allocated among the storage volumes according to a policy of requirements and preferences based on separation of critical data sets so that a single point of failure in one storage resource will have minimal impact on data sets stored in a different resource. According to the method, a second currently stored data set to be separated from a new first data set is identified. A storage resource and any volume thereof that contains the second data set is identified. An eligible volume list for selection of a storage volume for the first data set is formed according to the policy. The storage volumes of the storage resource identified as containing the second data set are excluded from the eligible volume list.

Abstract: A computer system that includes a computer and a storage system. The storage system includes a plurality of storage resources, each of which includes one or more storage volumes. Data sets are allocated among the storage volumes according to a policy of requirements and preferences based on separation of critical data sets so that a single point of failure in one storage resource will have minimal impact on data sets stored in a different resource. According to the method, a second currently stored data set to be separated from a new first data set is identified. A storage resource and any volume thereof that contains the second data set is identified. An eligible volume list for selection of a storage volume for the first data set is formed according to the policy. The storage volumes of the storage resource identified as containing the second data set are excluded from the eligible volume list.

Abstract: A method and computer that reduces ABENDs due to end of volume encounters of a job. The method provides an extend-to-new volume processing in response to such encounters. The method permits the definition of primary storage groups and extend storage groups and allows the linking of an extend storage group to a primary storage group. When the job encounters an end-of-volume condition on the current storage volume and is further unable to extend to a new volume in the primary storage group, the method then tries to find a new volume in one or more extend storage groups that are linked to that primary storage group. If no new volume can be found in an extend storage group, an ABEND process is performed.

Abstract: A method and system for automatically allocating space within a data storage system for multiple data sets which may include units of data, databases, files or objects. Each data set preferably includes a group of associated preference/requirement parameters which are arranged in a hierarchical order and then compared to corresponding data storage system characteristics for available devices. The data set preference/requirement parameters may include performance, size, availability, location, portability, share status and other attributes which affect data storage system selection. Data storage systems may include solid-state memory, disk drives, tape drives, and other peripheral storage systems. Data storage system characteristics may thus represent available space, cache, performance, portability, volatility, location, cost, fragmentation, and other characteristics which address user needs.