Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference204 articles.
1. Prity, F.S., Gazi, M.H., Uddin, K.M.: A review of task scheduling in cloud computing based on nature-inspired optimization algorithm. Clust. Comput. (2023). https://doi.org/10.1007/s10586-023-04090-y
2. Mazumder, A.M.R., Uddin, K.A., Arbe, N., Jahan, L. and Whaiduzzaman, M., 2019. Dynamic task scheduling algorithms in cloud computing. In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 1280–1286). IEEE
3. Kumar, R., Bhagwan, J.: A comparative study of meta-heuristic-based task scheduling in cloud computing. In: Mohan, H.D. (ed.) Artificial intelligence and sustainable computing: Proceedings of ICSISCET 2020, pp. 129–141. Springer Singapore, Singapore (2022)
4. Chowdhury, N., Aslam Uddin, M.K., Afrin, S., Adhikary, A., Rabbi, F.: Performance evaluation of various scheduling algorithm based on cloud computing system. Asian J. Res. Comput. Sci 2(1), 1–6 (2018)
5. Singh, H., Tyagi, S., Kumar, P.: Scheduling in cloud computing environment using metaheuristic techniques a survey. In: Mandal, J.K. (ed.) Emerging technology in modelling and graphics: Proceedings of IEM graph 2018, pp. 753–763. Springer Singapore, Singapore (2020)
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