DocumentCode
2208717
Title
Scheduling directed a-cyclic task graphs on heterogeneous network of workstations to minimize schedule length
Author
Baskiyar, Sanjeev ; SaiRanga, Prashanth C.
Author_Institution
Dept. of Comput. Sci. & Software Eng., Auburn Univ., AL, USA
fYear
2003
fDate
6-9 Oct. 2003
Firstpage
97
Lastpage
103
Abstract
We evaluate the performance of a non-preemptive heuristic algorithm called heterogeneous critical node first (HCNF) that statically schedules directed a-cyclic task graphs on heterogeneous multiprocessor systems to minimize the makespan. Using simulations on real applications and benchmark graphs we show that HCNF outperforms HEFT (heterogeneous earliest finish time) significantly in schedule length ratio, speedup and efficiency. Schedule length ratio is the ratio of the parallel time to the sum of weights of the critical path tasks on the fastest processor. Speedup is the ratio of the sequential execution time to the parallel execution time. Efficiency is the ratio of the speedup to the number of processors.
Keywords
benchmark testing; directed graphs; minimisation; parallel processing; processor scheduling; workstation clusters; benchmark graphs; directed a-cyclic graphs; heterogeneous computing; heterogeneous critical node first; heterogeneous multiprocessor systems; heterogeneous network; makespan; nonpreemptive heuristic algorithm; parallel execution time; parallel time ratio; schedule length minimization; schedule length ratio; scheduling; sequential execution time; task graph; workstations network; Computational modeling; Computer science; Dynamic scheduling; Grid computing; Heuristic algorithms; Multiprocessing systems; Processor scheduling; Scheduling algorithm; Vehicle dynamics; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on
ISSN
1530-2016
Print_ISBN
0-7695-2018-9
Type
conf
DOI
10.1109/ICPPW.2003.1240359
Filename
1240359
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