Parallel Computing in Electrical Engineering, 2004. International Conference on (2000)
Aug. 27, 2000 to Aug. 30, 2000
J.H. Abawajy , Carleton University
S.P. Dandamudi , Carleton University
This paper presents an algorithm for scheduling communication-intensive parallel applications in workstation clusters environment. The proposed scheduling policy combines the best attributes of both space-sharing and time-sharing principles and coexists with local schedulers (e.g., the Windows NT scheduler), which both provides coordinated scheduling and can generalize to provide a wide range of resource abstractions.
J. Abawajy and S. Dandamudi, "Time/Space Sharing Distributed Job Scheduling Policy in a Workstation Cluster Environment," Parallel Computing in Electrical Engineering, 2004. International Conference on(PARELEC), Quebec, Canada, 2000, pp. 116.