Cooperation-based server deployment strategy in mobile edge computing system

Abstract

In our exploration of Mobile Edge Computing (MEC) systems, we address the critical challenge of edge server deployment, aiming to enhance application responsiveness through optimized server placement and cooperation. Our study diverges from traditional approaches that prioritize server location, instead highlighting the untapped potential of server collaboration for sharing computing resources. This cooperative strategy not only boosts resource utilization and trims response times but also intricately complicates deployment strategies. We introduce an innovative Collaboration-Based Server Deployment (CBSD) algorithm that stands out by facilitating cooperative communication between edge servers via Base Stations (BSs), even under stringent resource constraints. This algorithm employs a dual-phase approach: initially utilizing a non-collaborative Gradient algorithm for resource allocation among cooperative regions, followed by a strategic distribution of resources based on regional demand. Our comprehensive simulations show that our proposed methodology improves system utility and throughput by 35% and 25%, respectively, while robustness reaches 90% compared to the baseline. These results represent improvement in managing limited edge resources effectively.