The paper introduces a new paradigm for fog computing system task management to minimize latency
and enhance the overall system efficiency. The proposed methodology is for global and local task optimization
and for resolving the issue of latency in communication networks employed in fog computing. The methodology
utilizes the Whale Optimization Algorithm (WOA), a bio-inspired optimization algorithm based on the social
behavior and hunting pattern of......
Keywords: Healthcare, IoT, Cloud Computing, Fog Computing, Task Management, Swarm Intelligence
[1]. El-Rashidy, Nora, Shaker El-Sappagh, SM Riazul Islam, Hazem M. El-Bakry, and Samir Abdelrazek. "Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges." Diagnostics 11, no. 4 (2021): 607.
[2]. Kishor, Amit, Chinmay Chakraborty, and Wilson Jeberson. "A novel fog computing approach for minimization of latency in healthcare using machine learning." (2021).
[3]. Qiu, Yu, Haijun Zhang, and Keping Long. "Computation offloading and wireless resource management for healthcare monitoring in fog-computing-based internet of medical things." IEEE Internet of Things Journal 8, no. 21 (2021): 15875-15883.
[4]. Shakir, Hayder Makki, and Jaber Karimpour. "Survey on load balancing in fog computing in smart healthcare system." In 2021 International Conference on Advanced Computer Applications (ACA), pp. 128-131. IEEE, 2021.
[5]. Patwary, Abdullah Al-Noman, Ranesh Kumar Naha, Saurabh Garg, Sudheer Kumar Battula, Md Anwarul Kaium Patwary, Erfan Aghasian, Muhammad Bilal Amin, Aniket Mahanti, and Mingwei Gong. "Towards secure fog computing: A survey on trust management, privacy, authentication, threats and access control." Electronics 10, no. 10 (2021): 1171.