Resource Allocation Methods among Server Clusters in a Resource Permeating Distributed Computing Platform for 5G Networks

Abstract

With the spread and development of 5G technology, network configurations with MEC (Multi-Access Edge Computing) servers in the vicinity of 5G base stations are becoming more common. We have been researching and developing Giocci, a resource permeating distributed processing platform that offloads computation tasks on end devices to MEC servers and cloud servers. In this paper, we propose resource allocation methods to efficiently determine the server to which tasks are allocated in a network configuration that includes MEC servers. In order to construct the proposed methods, we first model the main functions of Giocci and define the resource allocation problem for this work. There are four proposed methods according to each objective and priority; a prioritized allocation by the average number of waiting tasks, by the communication delay, by the task response time, and by the cost of using computing resources. We initially implement these methods assuming that they are task allocation functions in Giocci. Experimental evaluations demonstrate that they could achieve appropriate resource allocation results for each objective. This research contributes to the smooth allocation of computational resources in 5G networks including MEC servers.