Cloud-Native IoT-Cloud Services Composition with Monitoring-based Renement over Multiple Kubernetes Clusters

Abstract

In recent years, to develop and verify services quickly and efficiently, traditional monolithic service has evolved to a service composition that is based on a container-based microservice architecture (MSA). In this paper, we design relocatable service composition method to develop and compose intelligent IoT-Cloud service in the cloud-native computing environment based on IoT-Cloud pattern. In addition, to verify the feasibility of the proposed approach of service composition method, we apply the specific IoT-Cloud service on multi-site playground to verify mobility and usefulness. We show the proposed approach can be proved that cloud-native based service is partially adaptable to the service environment and can be operated flexibly. In addition, the use of multi-clouds is increasing recently due to problems such as vendor-lock-in and flexibility of workload distribution found in a single cloud. To solve this problem, development of a multi-cloud service common framework technology that maximizes the utilization and diffusion of multi-cloud based on cloud-native computing has emerged as an important issue. In response, in this paper, we implemented and deployed application services and workloads in multi-cloud for efficient use of multi-cloud environment, and grasped the state of resources at a glance. Through this, we analyzed the relationship between application service workload and resource usage, and showed the possibility of efficient infrastructure service deployment based on profiling.