Abstract
This paper focuses on how to realize efficient deployment in the cloud platform server resource pool. Aiming at this problem, a server resource allocation model and a shared resource-constrained project scheduling algorithm (CGS) based on column generation algorithm were designed. This algorithm improves the CG algorithm instability, approximate solution, and library updating to ensure that the multiprocessor can complete the task by sharing a certain number of resources. Finally, experiments are carried out by comparing with the traditional algorithms ILP, LR, and GA. Experimental results show that this method has good performance and is better than the traditional algorithm under a large task condition.
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This work was supported in part by the Natural Science Foundation of Liaoning Province under Grant 2019KF2307 and Science and Technology Project of Quanzhou City under Grant 2020C011R and 2019CT003.
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Huang, Z., Chen, D. (2021). Resource-Constrained Project Scheduling of Cloud Platform Based on Column Generation Algorithm. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_97
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DOI: https://doi.org/10.1007/978-3-030-69717-4_97
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