Resource Allocation Algorithm Based on Heterogeneous Resource Evaluation for Edge Computing

Abstract

With the progress of information technology and the upgrading of hardware equipment, people are considering the use of better edge computing services. These services often have different dimensions of computing resource requirements, and the type of resources that people have can provide is not unique, which brings new challenges to people, that is, how to achieve better deployment of services in heterogeneous resource scenarios. We designed a multi-dimensional scoring scheme for heterogeneous resources, graded the server and service collection according to this scoring scheme, and realized our allocation algorithm on this basis. We designed a set of experiments to verify the advantages of our multidimensional evaluation scheme in task deployment success rate and resource utilization. The experimental results of several simulations show that our scheme can perform better in task deployment success rate and resource utilization than single dimension evaluation.