Monitoring network load for fuzzy scheduling of jobs submitted to clusters of workstations

A fuzzy control system is described that prioritizes the allocation of parallel jobs to, and their suspension from, a cluster of networked workstations. The algorithm presented augments the scheduling capabilities of existing network queuing systems by including, in addition to the available number of machines, network load as a cluster resource and an application's communication requirements as a resource specification in the ranking decisions.