Abstract: A method, apparatus, and article of manufacture are provided to support dynamic assignment of data from a continuous stream of data to one or more storage devices in a storage network. The storage network is configured with one or more tiers in a hierarchy, with at least one storage device in each tier. Similarly, the storage network is in communication with both a storage manager and a data manager. The storage manager sorts the storage devices, maintains a demand function of each device, and calculates a burn rate for each storage device. The data manager is in communication with the storage manager and assigns data from the received stream of data to at least one of the storage devices.

Abstract: A method, apparatus, and article of manufacture are provided to support dynamic assignment of data from a continuous stream of data to one or more storage devices in a storage network. The storage network is configured with one or more tiers in a hierarchy, with at least one storage device in each tier. Similarly, the storage network is in communication with both a storage manager and a data manager. The storage manager sorts the storage devices, maintains a demand function of each device, and calculates a burn rate for each storage device. The data manager is in communication with the storage manager and assigns data from the received stream of data to at least one of the storage devices.

Abstract: A computer and method for problem detection and determination for automated system management in a system, wherein the method comprises monitoring system state, workload, and performance parameters of the system; comparing the monitored parameters against normal system performance behavior of the system, wherein the normal system performance behavior is maintained as a mapping of a system state and workload-to-performance parameters; summarizing performance abnormalities at a specified layer in the system as computation and data-processing attributes, wherein the performance abnormalities comprise deviations from the normal system performance behavior; correlating the performance abnormalities across multiple layers in the system using an attribute-based framework; and communicating a root-cause of the performance abnormalities.

Abstract: Disclosed is an autonomic abnormality detection device having a plurality of agents, a server with a one or more processors, a data storage device and a corrective actions engine. The device is adapted to detect and diagnose abnormalities in system components. Particularly, the device uses agents to track performance/workload measurements of system components and dynamically compiles a history of those performance/workload measurements for each component. In order to detect abnormalities a processor compares current performance/workload measurements for a component to the compiled histories for that component and for other components. The processor can further be adapted to determine possible causes of a detected abnormality and to report the abnormality, including the possible causes, to a corrective actions engine.