1. Abdessamia, F., Zhang, W.-Z., Tian, Y.-C.: Energy-efficiency virtual machine placement based on binary gravitational search algorithm. Clust. Comput. 23(3), 1577–1588 (2020)
2. Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215(3), 403–410 (1990)
3. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In SODA’07, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
4. Awada, U., Barker, A.: Resource efficiency in container-instance clusters. In Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, ICC ’17, pp. 181:1–181:5, New York, NY, USA, (2017). ACM
5. Aytug, H., Bhattacharyya, S., Koehler, G.J., Snowdon, J.L.: A review of machine learning in scheduling. IEEE Trans Eng. Manag. 41(2), 165–171 (1994)