RWRR: Remind Weighted Rounding Robin for Load Balancing in Fog Computing
Samah Ali, Raaid Alubady · 2023
The healthcare environment is one of the applications that require real-time monitoring to immediately process. Fog computing works in a real-time environment and offers connected devices for processing healthcare data with low latency compared with the cloud computing model. Load balancing is an important term in fog computing that avoids the situations of overload and underload in fog nodes. Many of the Quality of Service (QoS) metrics such as cost, response time, throughput, resource utilization, and performance can be improved by load balancing. In this paper, we proposed a load balancing mechanism called the Remind Weighted Round Robin (RWRR) algorithm to enhance the QoS metrics and load the tasks to the appropriate fog node based on the capabilities of this node that will be assigned by the proposed algorithm. The algorithm is applied in order to enhance the healthcare system in the fog computing environment. Results of the proposed algorithm demonstrate it enhances the overall performance system with 20.05%, an average response time of 120.25ms when compared with related work.