Synopsys, Inc.
Dynamic Storage-Aware Job Scheduling

Abstract:

Computer-implemented techniques for executing jobs on parallel processors using dynamic storage-aware job scheduling are disclosed. A network storage system is accessed along with a scheduling queue of pending job processes. The networked storage system is polled to determine the status of members of the storage system. These members comprise storage devices and storage shares. A database is created of metrics describing the status of the members of the networked storage system. Job processes are then dispatched to the networked storage system based on this database of metrics.