Increasing the efficiency of Fog Nodes through of Priority-based Load Balancing

The continuous growth and the heterogeneity of the Internet of Things devices is an increasing concern in Fog Computing, where the nodes tend to stay overloaded, which compromises the response times. In response to this challenge, we propose an Architecture Model for Fog Computing and a new Priority Load Balancer that aims to increase the fog nodes’ efficiency. Our research combines task information and computational dynamics load in order to reduce the response time of the Fog Computing. Results show that the proposed solution has the best response time compared to the scenario with direct and round-robin strategies. Our proposed load balancer was able to reduce the response time of high priority tasks by more than 56% compared to other balancers.