Criticality and Utility-aware Fog Computing System for Remote Health Monitoring

• URL: http://arxiv.org/abs/2105.11097v2
• Date: Sat, 2 Apr 2022 06:28:38 GMT
• Title: Criticality and Utility-aware Fog Computing System for Remote Health Monitoring
• Authors: Moirangthem Biken Singh, Navneet Taunk, Naveen Kumar Mall, and Ajay Pratap
• Abstract summary: Real-time smart-healthcare application poses a delay constraint that has to be solved efficiently. Fog computing is emerging as an efficient solution for such real-time applications. Medical centers are getting attracted to the growing IoT-based remote healthcare system in order to make a profit by hiring Fog computing resources.
• Score: 0.31498833540989407
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Growing remote health monitoring system allows constant monitoring of the patient's condition and performance of preventive and control check-ups outside medical facilities. However, the real-time smart-healthcare application poses a delay constraint that has to be solved efficiently. Fog computing is emerging as an efficient solution for such real-time applications. Moreover, different medical centers are getting attracted to the growing IoT-based remote healthcare system in order to make a profit by hiring Fog computing resources. However, there is a need for an efficient algorithmic model for allocation of limited fog computing resources in the criticality-aware smart-healthcare system considering the profit of medical centers. Thus, the objective of this work is to maximize the system utility calculated as a linear combination of the profit of the medical center and the loss of patients. To measure profit, we propose a flat-pricing-based model. Further, we propose a swapping-based heuristic to maximize the system utility. The proposed heuristic is tested on various parameters and shown to perform close to the optimal with criticality-awareness in its core. Through extensive simulations, we show that the proposed heuristic achieves an average utility of $96\%$ of the optimal, in polynomial time complexity.

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