Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation

Mobile-edge computing (MEC) enhances the capacities and features of mobile devices by offloading computation-intensive tasks over wireless networks to edge servers. One challenge faced deployment MEC in cellular is support user mobility. As a result, offloaded can be seamlessly migrated between base stations (BSs) without compromising resource-utilization efficiency link reliability. In this paper, we tackle optimizing policy for migration/handover BSs jointly managing computation-and-radio resources. The objectives are twofold: maximizing sum rate, quantifying throughput, minimizing migration cost. design formulated as decision-optimization problem that accounts virtualization, I/O interference virtual machines (VMs), multi-access. To solve complex combinatorial problem, develop an efficient relaxation-and-rounding based solution approach. approach relies on optimal iterative algorithm solving integer-relaxed novel integer-recovery design. latter outperforms traditional rounding method exploiting derived properties applying matching theory. addition, also consider special case “hotspot mitigation”, referring alleviating overloaded server/BS migrating its load nearby idle servers/BSs. From simulation results, observed close-to-optimal performance proposed policies under various settings. This demonstrates their resource management joint service BS handover multi-cell networks.