Multi-core processor scheduling with respect to the mutual influence of jobs
Numerical methods and programming, Tome 24 (2023) no. 1, pp. 115-126
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The paper deals with the problem of multi-core processor scheduling with respect to the mutual influence of jobs during their joint execution. A problem formulation and a model of mixed integer linear programming are proposed, the problem is shown to be NP-hard with the number of cores bounded by a constant. The results of the Intel TBB scheduler and the greedy algorithm are compared with the results obtained in accordance with the proposed model using the CPLEX package. The conducted experiment showed the advantages of the proposed approach in terms of the completion time of all jobs.
Keywords:
multi-core processor, scheduling, mixed integer linear programming.
@article{VMP_2023_24_1_a7,
author = {Anton V. Eremeev and Maria Yu. Sakhno},
title = {Multi-core processor scheduling with respect to the mutual influence of jobs},
journal = {Numerical methods and programming},
pages = {115--126},
publisher = {mathdoc},
volume = {24},
number = {1},
year = {2023},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VMP_2023_24_1_a7/}
}
TY - JOUR AU - Anton V. Eremeev AU - Maria Yu. Sakhno TI - Multi-core processor scheduling with respect to the mutual influence of jobs JO - Numerical methods and programming PY - 2023 SP - 115 EP - 126 VL - 24 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VMP_2023_24_1_a7/ LA - ru ID - VMP_2023_24_1_a7 ER -
Anton V. Eremeev; Maria Yu. Sakhno. Multi-core processor scheduling with respect to the mutual influence of jobs. Numerical methods and programming, Tome 24 (2023) no. 1, pp. 115-126. http://geodesic.mathdoc.fr/item/VMP_2023_24_1_a7/