Title :
Largest-job-first-scan-all scheduling policy for 2D mesh-connected systems
Author :
Yoo, Seong-Moo ; Yong Youn, Hee
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Abstract :
In general parallel computer systems, scheduling incoming jobs has been identified to be an important factor determining the overall performance, in addition to the allocation of processors to the scheduled jobs. The authors propose an efficient scheduling scheme for two-dimensional meshes. By employing the largest job first and scan-all policy along with the waiting time limit, the proposed scheme can alleviate the fragmentation problem. Contrary to the previous largest-job-first scheduling schemes, large jobs do not block small jobs in the scheme. As a result, the mean response time is significantly reduced as identified by comprehensive computer simulation
Keywords :
multiprocessor interconnection networks; parallel machines; processor scheduling; virtual machines; 2D mesh-connected systems; computer simulation; fragmentation problem; largest-job-first-scan-all scheduling policy; mean response time; parallel computer systems; performance; processor allocation; scheduled jobs; scheduling incoming jobs; waiting time limit; Computer science; Computer simulation; Concurrent computing; Delay; Distributed computing; Processor scheduling; Scattering; System performance; Topology;
Conference_Titel :
Frontiers of Massively Parallel Computing, 1996. Proceedings Frontiers '96., Sixth Symposium on the
Conference_Location :
Annapolis, MD
Print_ISBN :
0-8186-7551-9
DOI :
10.1109/FMPC.1996.558068