febab2e2-cda8-4c20-af00-f972c34620af beie director@blueeyesintelligence.org 10.35940/ijrte.A5824.0510121 10.1155/2017/9324035P. Sethi and S. R. Sarangi, "Internet of Things: Architectures, Protocols, and Applications," Journal of Electrical and Computer Engineering, Jan. 26, 2017. https://www.hindawi.com/journals/jece/2017/9324035/ (accessed Feb. 11, 2021).H. Arabnejad, C. Pahl, P. Jamshidi, and G. Estrada, "A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling," ArXiv170507114 Cs, May 2017, Accessed: Feb. 07, 2021. [Online]. Available: http://arxiv.org/abs/1705.07114.10.1016/j.pmcj.2014.09.009C. Krupitzer, F. M. Roth, S. VanSyckel, G. Schiele, and C. Becker, "A survey on engineering approaches for self-adaptive systems," Pervasive Mob. Comput., vol. 17, pp. 184-206, Feb. 2015, doi: 10.1016/j.pmcj.2014.09.009.10.1109/SEAMS.2017.21M. U. Iftikhar, G. S. Ramachandran, P. Bollansee, D. Weyns, and D. Hughes, "DeltaIoT: A Self-Adaptive Internet of Things Exemplar," in 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Buenos Aires, Argentina, May 2017, pp. 76-82, doi: 10.1109/SEAMS.2017.21.10.1007/978-3-319-67837-5_6A. Achtaich, N. Souissi, R. Mazo, C. Salinesi, and O. Roudies, "Designing a Framework for Smart IoT Adaptations," in Emerging Technologies for Developing Countries, vol. 206, F. Belqasmi, H. Harroud, M. Agueh, R. Dssouli, and F. Kamoun, Eds. Cham: Springer International Publishing, 2018, pp. 57-66.10.1007/978-3-030-58923-3_22M. T. Moghaddam, E. Rutten, P. Lalanda, and G. Giraud, "IAS: An IoT Architectural Self-adaptation Framework," in Software Architecture, vol. 12292, A. Jansen, I. Malavolta, H. Muccini, I. Ozkaya, and O. Zimmermann, Eds. Cham: Springer International Publishing, 2020, pp. 333-351.M. F. Argerich, "Learning based Adaptation for Fog and Edge Computing Applications and Services," p. 65, 2018.10.1007/978-3-319-91764-1_8A. Gatouillat, Y. Badr, and B. Massot, "QoS-Driven Self-adaptation for Critical IoT-Based Systems," in Service-Oriented Computing - ICSOC 2017 Workshops, vol. 10797, L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, and M. Oriol, Eds. Cham: Springer International Publishing, 2018, pp. 93-105.10.1109/ICSA-C50368.2020.00019M. D. Sanctis, H. Muccini, and K. Vaidhyanathan, "Data-driven Adaptation in Microservice-based IoT Architectures," in 2020 IEEE International Conference on Software Architecture Companion (ICSA-C), Salvador, Brazil, Mar. 2020, pp. 59-62, doi: 10.1109/ICSA-C50368.2020.00019.K. S. Awaisi, A. Abbas, S. U. Khan, R. Mahmud, and R. Buyya, "Simulating Fog Computing Applications using iFogSim Toolkit," p. 29.10.1007/978-3-030-34328-6_2R. Dhaya, R. Kanthavel, F. Algarni, P. Jayarajan, and A. Mahor, "Reinforcement Learning Concepts Ministering Smart City Applications Using IoT," in Internet of Things in Smart Technologies for Sustainable Urban Development, G. R. Kanagachidambaresan, R. Maheswar, V. Manikandan, and K. Ramakrishnan, Eds. Cham: Springer International Publishing, 2020, pp. 19-41.10.1002/spe.2509H. Gupta, A. V. Dastjerdi, S. K. Ghosh, and R. Buyya, "iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments," p. 22, 2016.