Scheduler for Distributed and Collaborative Container Clusters based on Multi-Resource Metric

Abstract

With the development of cloud technology, distributed and collaborative container platform technology has emerged to overcome the limitations of the existing stand-alone container platform, which has limitations in the mobility and resource scalability of cloud services. Distributed and collaborative container platform technology enables flexible expansion of resources and maximization of service mobility between container platforms distributed locally. In this paper, we propose a two-stage scheduler based on multi-resource metrics. The proposed scheduler determines the proper federated cluster where the request deployment can be deployed in a distributed and collaborative cluster environment. In order to select an proper federated cluster, filtering to select candidate clusters to which the scheduling request deployment can be deployed and scoring to evaluate the preference of each filtered cluster are performed.