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
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;
Conference_Titel :
Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7695-2018-9
DOI :
10.1109/ICPPW.2003.1240359