Publisher
Springer International Publishing
Reference17 articles.
1. Keshanchi, B., Souri, A., Navimipour, N.J.: An improved genetic algorithm for task scheduling in the cloud environments using the priority queues: formal verification, simulation, and statistical testing[J]. J. Syst. Softw. 124, 1–21 (2017)
2. Cheng, D., Zhou, X., Lama, P., et al.: Energy efficiency aware task assignment with dvfs in heterogene hadoop clusters. IEEE Trans. Parallel Distrib. Syst. 29(1), 70–82 (2017)
3. Deng, W., Xu, J., Zhao, H.: An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem. IEEE access 7, 20281–20292 (2019)
4. Gupta, A., Garg, R.: Load balancing based task scheduling with ACO in cloud computing. In: 2017 International Conference on Computer and Applications (ICCA), pp. 174–179. IEEE (2017)
5. Zhao, J., Liang, H., Ding, Y., et al.: A heuristic placement selection of live virtual machine migration for energy-saving in cloud computing environment. PLoS ONE 9(9), 118–125 (2014)