Adaptive Tasmanian Devil Optimization algorithm based efficient task scheduling for big data application in a cloud computing environment
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19887-1.pdf
Reference22 articles.
1. Praveen SP, Ghasempoor H, Shahabi N, Izanloo F (2023) A hybrid gravitational emulation local search-based algorithm for task scheduling in cloud computing. Math Probl Eng 2023(1):9. https://doi.org/10.1155/2023/6516482
2. Sun J, Zhang Y, Wu Z, Zhu Y, Yin X, Ding Z, Wei Z, Plaza J, Plaza A (2019) An efficient and scalable framework for processing remotely sensed big data in cloud computing environments. IEEE Trans Geosci Remote Sens 57(7):4294–4308
3. Swarup S, Shakshuki EM, Yasar A (2021) Task scheduling in cloud using deep reinforcement learning. Procedia Comput Sci 184:42–51
4. Peng Z, Pirozmand P, Motevalli M, Esmaeili A (2022) Genetic algorithm-based task scheduling in cloud computing using mapreduce framework. Math Probl Eng 2022:1–11. https://doi.org/10.1155/2022/4290382
5. Hasan MZ, Al-Rizzo H (2020) Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization. Concurr Comput Pract Exp 32(2):e5442
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