Ant Colony Optimization With Lagrangian Relaxation For Cloud Computing Offloading Optimization

Abstract

This research introduces a new optimization method that combines Ant Colony Optimization (ACO) with Lagrangian relaxation to improve the efficiency of cloud computing offloading. The objective is to enhance the distribution of computing activities and data transfer between mobile devices and cloud servers in order to decrease latency and energy consumption. The ACO method is used to effectively explore the solution space, while Lagrangian relaxation is performed to address the equality requirements of the optimization problem. The experimental findings confirm the efficacy of the suggested methodology in obtaining substantial enhancements in performance when compared to conventional methods.