A Power Management Approach to Reduce Energy Consumption for Edge Computing Servers

Abstract

With the rapid development of edge computing and its applications, requests to edge servers is expected to grow, resulting in higher edge network energy consumption. This in essence would also result in higher operational costs for running edge applications. Furthermore, service providers try to manage their resources efficiently to provide appropriate quality of services to their customers while reducing service costs. To appropriately manage resources, it is necessary to apply useful models to measure energy consumption in the edge network. The linear relationship between energy consumption and CPU utilization is one powerful modeling method used to compute the energy consumption of edge network servers. The method calculates the power consumption of a server based on its CPU utilization during run-time. In this paper, we propose a linear power model for the EdgeCloudSim simulator to measure the energy consumption of edge network servers. Moreover, we introduce a simple dynamic power management model used to minimize power consumption in the edge network by switching the edge servers on and off based on provisioned application needs. The experimental and simulation results show a notable reduction in the total energy consumption when applying the proposed simple model on two different orchestration policies to manage the edge network servers.