Priority-Based Resource Allocation Scheme for Resources Usage in Mobile Edge Computing Platform

Abstract

Mobile edge computing offers cloud-like services at the edge of mobile networks to fulfill the escalating user demands for applications that are latency sensitive and require quick computation. However, this paradigm is confined to restricted resources; hence, an efficient and effective resource allocation strategy is necessary for optimum resource usage. Considering this fact, this article aims to describe a new method named the priority-based resource allocation scheme for efficient use of the available resources in this paradigm. Computing resources are allocated adaptively by considering the time-constraint nature of the incoming requests. The proposed approach shall adapt to meet the resource requirements and incoming requests' priorities to accomplish the task. After determining the received request type, which can be either a priority-based or ordinary request, each will be handled in one of three possibilities. At the edge node, available resources are managed in such a way as to handle the maximum number of incoming requests and the optimum use of scarce resources. Simulation results show that our proposed priority-based resource allocation scheme method outperforms the benchmarked schemes in average response time, average latency, resource usage, task execution time analysis, and energy consumption.