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Type-2-Soft-Set Based Uncertainty Aware Task Offloading Framework for Fog Computing Using Apprenticeship Learning

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Bonomi, F., R. Milito, J. Zhu, S. Addepalli. Fog Computing and Its Role in the Internet of Things. – In: Proc. of 1st Edition of the MCC Workshop on Mobile Cloud Computing, 2012, pp. 13-16. Search in Google Scholar

Wen, Z., R. Yang, P. Garraghan, T. Lin, J. Xu, M. Rovatsos. Fog Orchestration for Internet of Things Services. – IEEE Internet Computing, Vol. 21, 2016, No 2, pp. 16-24. Search in Google Scholar

Manzali, Y., M. El Far, M. Chahhou, M. Elmohajir. Enhancing Weak Nodes in Decision Tree Algorithm Using Data Augmentation. – Cybernetics and Information Technologies, Vol. 22, 2022, No 2, pp. 50-65. Search in Google Scholar

Jeaunita, T. J., V. Sarasvathi. A Multi-Agent Reinforcement Learning-Based Optimized Routing for QoS in IoT. – Cybernetics and Information Technologies, Vol. 21, 2021, No 4, pp. 45-61. Search in Google Scholar

Toshev, A. Particle Swarm Optimization and Tabu Search Hybrid Algorithm for Flexible Job Shop Scheduling Problem-Analysis of Test Results. – Cybernetics and Information Technologies, Vol. 19, 2019, No 4, pp. 26-44. Search in Google Scholar

Maji, P. K., R. Biswas, A. Roy. Soft Set Theory. – Computers & Mathematics with Applications, Vol. 45, 2003, No 4, pp. 555-562. Search in Google Scholar

Zhang, Z., S. Zhang. Type-2 Fuzzy Soft Sets and Their Applications in Decision Making. – Journal of Applied Mathematics, 2012. Search in Google Scholar

Zhang, Z., S. Zhang. A Novel Approach to Multi Attribute Group Decision Making Based on Trapezoidal Interval Type-2 Fuzzy Soft Sets. – Applied Mathematical Modelling, Vol. 37, 2013, No 7, pp. 4948-4971. Search in Google Scholar

Alcantud, J. C. R. Some Formal Relationships among Soft Sets, Fuzzy Sets, and Their Extensions. – International Journal of Approximate Reasoning, Vol. 68, 2016, pp. 45-53. Search in Google Scholar

Moreno, J. E., M. A. Sanchez, O. Mendoza, A. Rodriguez-Diaz, O. Castillo, P. Melin, J. R. Castro. Design of an Interval Type-2 Fuzzy Model with Justifiable Uncertainty. – Information Sciences, Vol. 513, 2020, pp. 206-221. Search in Google Scholar

Abbeel, P., A. Y. Ng. Apprenticeship Learning via Inverse Reinforcement Learning. – In: Proc. of 21st International Conference on Machine Learning, 2004, 1. Search in Google Scholar

Szepesvari, C. Algorithms for Reinforcement Learning. – Synthesis Lectures on Artificial Intelligence and Machine Learning, Vol. 4, 2010, No 1, pp. 1-103. Search in Google Scholar

Al-Quran, A., N. Hassan, E. Marei. A Novel Approach to Neutrosophic Soft Rough Set under Uncertainty. – Symmetry, Vol. 11, 2019, No 3, 84. Search in Google Scholar

Hussein, M., M. Mousa. Efficient Task Offloading for IoT-Based Applications in Fog Computing Using Ant Colony Optimization. – IEEE Access, Vol. 8, 2020, pp. 37191-37201. Search in Google Scholar

Adhikari, M., M. Mukherjee, S. Srirama. DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing. – IEEE Internet of Things Journal, Vol. 7, 2020, pp. 5773-5782. Search in Google Scholar

Zhang, G., F. Shen, Y. Yang, H. Qian, W. Yao. Fair Task Offloading among Fog Nodes in Fog Computing Networks. – In: Proc. of IEEE International Conference on Communications (ICC’18), 2018, pp. 1-6. Search in Google Scholar

Alfakih, T., M. M. Hassan, A. Gumaei, C. Savaglio, G. Fortino. Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA. – IEEE Access, Vol. 8, 2020. pp. 54074-54084. Search in Google Scholar

Rahbari, D., M. Nickray. Task Offloading in Mobile Fog Computing by Classification and Regression Tree. – Peer-to-Peer Networking and Applications, Vol. 13, 2020, No 1, pp. 104-122. Search in Google Scholar

Yao, J., N. Ansari. Task Allocation in Fog-Aided Mobile IoT by Lyapunov Online Reinforcement Learning. – IEEE Transactions on Green Communications and Networking, Vol. 4, 2019, No 2, pp. 556-565. Search in Google Scholar

eISSN:
1314-4081
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, Information Technology