Title :
Monitoring network load for fuzzy scheduling of jobs submitted to clusters of workstations
Author :
Kipersztok, Oscar ; Patterson, James C.
Author_Institution :
Boeing Inf. & Support Services, Seattle, WA, USA
Abstract :
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
Keywords :
computerised control; fuzzy control; processor scheduling; queueing theory; resource allocation; scheduling; workstations; cluster resource; communication requirements; fuzzy control system; fuzzy scheduling; job scheduling; monitoring network load; network load; network queuing systems; networked workstation clusters; parallel job allocation; ranking decisions; resource specification; scheduling capabilities; workstations; Clustering algorithms; Communication system control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Monitoring; Processor scheduling; Scheduling algorithm; Workstations;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527755
