Abstract: An apparatus, system and method for active scheduling of event-driven long running processes are provided. The apparatus, system and method receive update information indicating a change in status of a subject of the active scheduling. Based on this changed status and stored scheduling rules, an adapted schedule is generated to accommodate the change in status. The adapted schedule is further modified based on historical information to compensate for historically predicted events that may conflict with events in the adapted schedule.

Abstract: A method is provided for parallel and cooperative processing of data in a system wherein a coordinator process cooperates with one or more agent processes to which portions of the data processing function is off loaded. The agent processes read and process the data and accumulate a partial result. Each agent process, responsive to statistics collected on the content of the data processed, returns a partial result of the processing to the coordinator process. These steps are repeated iteratively until the processing has been completed. In a specific application, the performance of data processing systems is improved by speeding up database group-by queries. The group-by operation processing is distributed between the host central processing unit (CPU) and the input/output (I/O) processors (IOPs). Essentially, the IOPs are sent group-by requests to be performed on a set of disk blocks (extents), along with a predicate for tuples to be selected for query.