DocumentCode :
2344732
Title :
Characterization of backfilling strategies for parallel job scheduling
Author :
Srinivasan, Srividya ; Kettimuthu, Rajkumar ; Subramani, V. ; Sadayappan, P.
Author_Institution :
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
fYear :
2002
fDate :
2002
Firstpage :
514
Lastpage :
519
Abstract :
Although there is wide agreement that backfilling produces significant benefits in scheduling of parallel jobs, there is no clear consensus on which backfilling strategy is preferable e.g. should conservative backfilling be used or the more aggressive EASY backfilling scheme; should a first-come first-served (FCFS) queue-priority policy be used, or some other such as shortest job first (SF) or expansion factor (XF); In this paper we use trace-based simulation to address these questions and glean new insights into the characteristics of backfilling strategies for job scheduling. We show that by viewing performance in terms of slowdowns and turnaround times of jobs within various categories based on their width (processor request size), length (job duration) and accuracy of the user´s estimate of run time, some consistent trends may be observed.
Keywords :
processor scheduling; queueing theory; EASY backfilling scheme; FCFS queue-priority policy; SF priority; XF priority; backfilling strategy characterization; conservative backfilling; expansion factor priority; first-come first-served queue-priority policy; job duration; job length; job scheduling; job width; parallel job scheduling; processor request size; run time estimate accuracy; shortest-job-first priority; trace-based simulation; Computational modeling; Conferences; Information science; Laboratories; Parallel processing; Processor scheduling; Runtime; Supercomputers; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops, 2002. Proceedings. International Conference on
ISSN :
1530-2016
Print_ISBN :
0-7695-1680-7
Type :
conf
DOI :
10.1109/ICPPW.2002.1039773
Filename :
1039773
Link To Document :
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