A Classification-Based Framework for Computation Offloading in Edge Computing on Healthcare System

Edge computing is a technology that reduces energy consumption and traffic congestion for delay-sensitive service requests. It involves processing data locally or in adjacent edge data centers, meaning data travels shorter distances than it would under standard cloud architecture. However, unlike the cloud, fog/edge resources are resource-constrained, diverse, and dynamic, which makes resource management difficult. This paper proposes a priority scheduling approach for healthcare system. The experiment shows that the proposed approach outperforms Patient Tracking System with Resource Allocation (PTS-RA) under the evaluation parameters: CPU utilization, and energy consumption.