Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment

References

• Aazam, M., S. Zeadally, and K. A. Harras. 2018. Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities. Future Generation Computer Systems 87:278–28. doi:10.1016/j.future.2018.04.057
   Web of Science ®Google Scholar
• Akbari, M. A., M. Zare, R. Azizipanah-Abarghooee, S. Mirjalili, and M. Deriche. 2022. The cheetah optimizer: A nature-inspired metaheuristic algorithm for large-scale optimization problems. Scientific Reports 12 (1):10953. doi:10.1038/s41598-022-14338-z
   PubMed Web of Science ®Google Scholar
• Al-Fuqaha, A., M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash. 2015. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials 17 (4):2347–76. doi:10.1109/COMST.2015.2444095
   Web of Science ®Google Scholar
• Al-Khafajiy, M., T. Baker, H. Al-Libawy, Z. Maamar, M. Aloqaily, & Y. Jararweh. 2019. Improving fog computing performance via fog-2-fog collaboration. Future Generation Computer Systems 100:266–80. doi:10.1016/j.future.2019.05.015
   Web of Science ®Google Scholar
• Al-Khafajiy, M., T. Baker, A. Waraich, O. Alfandi, & A. Hussien. 2019. Enabling high performance fog computing through fog-2-fog coordination model. 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, United Arab Emirates.
   Google Scholar
• Al Mudawi, N. 2022. Integration of IoT and fog computing in healthcare based the smart intensive units. Institute of Electrical and Electronics Engineers Access 10:59906–18. doi:10.1109/ACCESS.2022.3179704
   Google Scholar
• Alrawais, A., A. Alhothaily, C. Hu, and X. Cheng. 2017. Fog computing for the internet of things: Security and privacy issues. IEEE Internet Computing 21 (2):34–42. doi:10.1109/MIC.2017.37
   Web of Science ®Google Scholar
• Amoozegar, M., and E. Rashedi 2014. Parameter tuning of GSA using DOE. 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran.
   Google Scholar
• Ansari, A. S. 2024. Development of stegano–visual cryptography technique using GWO-CSA-Based novel hybrid heuristic algorithms. International Journal of Intelligent Systems and Applications in Engineering 12 (8s):523–33.
   Google Scholar
• Atlam, H. F., R. J. Walters, and G. B. Wills. 2018. Fog computing and the internet of things: A review. Big Data and Cognitive Computing 2 (2):10. doi:10.3390/bdcc2020010
   Google Scholar
• Botta, A., W. De Donato, V. Persico, and A. Pescapé. 2016. Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems 56:684–700. doi:10.1016/j.future.2015.09.021
   Web of Science ®Google Scholar
• Gubbi, J., R. Buyya, S. Marusic, and M. Palaniswami. 2013. Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29 (7):1645–60. doi:10.1016/j.future.2013.01.010
   Web of Science ®Google Scholar
• Jiang, L., L. Da Xu, H. Cai, Z. Jiang, F. Bu, and B. Xu. 2014. An IoT-oriented data storage framework in cloud computing platform. IEEE Transactions on Industrial Informatics 10 (2):1443–51. doi:10.1109/TII.2014.2306384
   Web of Science ®Google Scholar
• Jokar, E., M. Mosleh, and M. Kheyrandish. 2022. GWBM: An algorithm based on grey wolf optimization and balanced modularity for community discovery in social networks. The Journal of Supercomputing 78 (5):7354–77. doi:10.1007/s11227-021-04174-9
   Web of Science ®Google Scholar
• Kishor, A., C. Chakraborty, and W. Jeberson. 2021. Intelligent healthcare data segregation using fog computing with internet of things and machine learning. International Journal of Engineering Systems Modelling and Simulation 12 (2–3):188–94. doi:10.1504/IJESMS.2021.115533
   Web of Science ®Google Scholar
• Laroui, M., B. Nour, H. Moungla, M. A. Cherif, H. Afifi, and M. Guizani. 2021. Edge and fog computing for IoT: A survey on current research activities & future directions. Computer Communications 180:210–31. doi:10.1016/j.comcom.2021.09.003
   Web of Science ®Google Scholar
• Liang, J., Y. Du, Y. Xu, B. Xie, W. Li, Z. Lu, R. Li, and H. Bal. 2024. Using adaptive chaotic grey wolf optimization for the daily streamflow prediction. Expert Systems with Applications 237:121113. doi:10.1016/j.eswa.2023.121113
   Web of Science ®Google Scholar
• Li, H., M. Dong, and K. Ota. 2015. Radio access network virtualization for the social internet of things. IEEE Cloud Computing 2 (6):42–50. doi:10.1109/MCC.2015.114
   Web of Science ®Google Scholar
• Maamar, Z., K. Boukadi, E. Ugljanin, T. Baker, M. Asim, M. Al-Khafajiy, D. Benslimane, and H. El Alaoui El Abdallaoui. 2018. Thing federation as a service: Foundations and demonstration. In Model and Data Engineering: 8th International Conference, MEDI 2018, Marrakesh, Morocco: October 24 26, 2018. Proceedings 8.
   Google Scholar
• Maamar, Z., N. Faci, M. Al-Khafajiy, and M. Dohan. 2021. Time-centric and resource-driven composition for the internet of things. Internet of Things 16:100460. doi:10.1016/j.iot.2021.100460
   Google Scholar
• Ma, K., A. Bagula, C. Nyirenda, and O. Ajayi. 2019. An IoT-based fog computing model. Sensors 19 (12):2783. doi:10.3390/s19122783
   PubMed Web of Science ®Google Scholar
• Marini, F., and B. Walczak. 2015. Particle swarm optimization (PSO). A tutorial. Chemometrics and Intelligent Laboratory Systems 149:153–65. doi:10.1016/j.chemolab.2015.08.020
   Web of Science ®Google Scholar
• Nebagiri, M. H., and L. P. Hnumanthappa. 2024. Multi-objective of load balancing in cloud computing using cuckoo search optimization based simulation annealing. International Journal of Intelligent Systems and Applications in Engineering 12 (9s):466–74.
   Google Scholar
• Negash, B., T. N. Gia, A. Anzanpour, I. Azimi, M. Jiang, T. Westerlund, A. M. Rahmani, P. Liljeberg, and H. Tenhunen. 2018. Leveraging fog computing for healthcare IoT. Fog Computing in the Internet of Things: Intelligence at the Edge 145–69.
   Google Scholar
• Ni, J., K. Zhang, X. Lin, and X. Shen. 2017. Securing fog computing for internet of things applications: Challenges and solutions. IEEE Communications Surveys & Tutorials 20 (1):601–28. doi:10.1109/COMST.2017.2762345
   Web of Science ®Google Scholar
• Paul, A., H. Pinjari, W.-H. Hong, H. C. Seo, and S. Rho. 2018. Fog computing-based IoT for health monitoring system. Journal of Sensors 2018:1386470. doi:10.1155/2018/1386470
   Web of Science ®Google Scholar
• Puliafito, C., E. Mingozzi, F. Longo, A. Puliafito, and O. Rana. 2019. Fog computing for the internet of things: A survey. ACM Transactions on Internet Technology (TOIT) 19 (2):1–41. doi:10.1145/3301443
   Web of Science ®Google Scholar
• Quy, V. K., N. V. Hau, D. V. Anh, and L. A. Ngoc. 2022. Smart healthcare IoT applications based on fog computing: Architecture, applications and challenges. Complex & Intelligent Systems 8 (5):3805–15. doi:10.1007/s40747-021-00582-9
   PubMed Web of Science ®Google Scholar
• Rahmani, A.-M., N. K. Thanigaivelan, T. N. Gia, J. Granados, B. Negash, P. Liljeberg, and H. Tenhunen. 2015. Smart e-health gateway: Bringing intelligence to internet-of-things based ubiquitous healthcare systems. 2015 12th annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA.
   Google Scholar
• Sabireen, H., and V. Neelanarayanan. 2021. A review on fog computing: Architecture, fog with IoT, algorithms and research challenges. ICT Express 7 (2):162–76. doi:10.1016/j.icte.2021.05.004
   Web of Science ®Google Scholar
• Sabri, N. M., M. Puteh, and M. R. Mahmood. 2013. A review of gravitational search algorithm. International Journal of Advances in Soft Computing and Its Applications 5 (3):1–39.
   Google Scholar
• Sait, S. M., P. Mehta, D. Gürses, and A. R. Yildiz. 2023. Cheetah optimization algorithm for optimum design of heat exchangers. Materials Testing 65 (8):1230–36. doi:10.1515/mt-2023-0015
   Web of Science ®Google Scholar
• Sallam, A., A. A. Almohammedi, A. S. A. Gaid, Y. A. S, M. Sadeq, S. E. Abdulaziz, S. Abduasalam, Y. Abdulhaleem, and V. Shepelev. 2021, 22–24 March. Performance evaluation of fog-computing based on IoT healthcare application. 2021 International Conference of Technology, Science and Administration (ICTSA), Taiz, Yemen.
   Google Scholar
• Shair, E. F., S. Khor, A. R. Abdullah, H. I. Jaafar, N. Zawani, and A. F. Zainal Abidin. 2015. Cuckoo search approach for cutting stock problem. International Journal of Information and Electronics Engineering 5 (2):138–43. doi:10.7763/IJIEE.2015.V5.518
   Google Scholar
• Verma, P., R. Tiwari, W.-C. Hong, S. Upadhyay, and Y.-H. Yeh. 2022. FETCH: A deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis. Institute of Electrical and Electronics Engineers Access 10:12548–63. doi:10.1109/ACCESS.2022.3143793
   Google Scholar
• Vu Khanh, Q., N. Vi Hoai, A. Dang Van, and Q. Nguyen Minh. 2023. An integrating computing framework based on edge-fog-cloud for internet of healthcare things applications. Internet of Things 23:100907. doi:10.1016/j.iot.2023.100907
   Google Scholar
• Yousefpour, A., G. Ishigaki, R. Gour, and J. P. Jue. 2018. On reducing IoT service delay via fog offloading. IEEE Internet of Things Journal 5 (2):998–1010. doi:10.1109/JIOT.2017.2788802
   Web of Science ®Google Scholar