Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing

This work introduces a novel advancement to edge computing by introducing a multi-objective optimization approach. The primary objective of this study is to address the existing research challenges associated with integrating edge computing and Internet of Things (IoT) devices. The utilization of an artificial bee colony technique has led to a decrease in both response time and energy usage within edge computing environments. A formulation of an optimization algorithm based on edges is proposed in order to effectively optimize the trade-off between response time and energy cost. The proposed method exhibits encouraging outcomes through meticulous evaluation in substantially decreasing response time and enhancing energy efficiency. This pioneering approach highlights the potential of the artificial bee colony algorithm as a robust algorithm for enhancing the performance of collaborative edge computing systems.