Internet of Things Services Orchestration Framework Based on Kubernetes and Edge Computing

Presented work is fanalysis of how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things (IoT) applications. Basically, IoT is a platform where integrated services are associated with the common network, thus all devices are able to gather and exchange data among each other. Typically, monolithic user mobility research services are developed for the unified ETSI MEC system reference architecture centers. ETSI MEC considers microservices as a tool for breaking monolithic applications into a set of loosely coupled distributed components. It is expected that this architecture will facilitate the dynamic adaptation during the application execution. However, increased modularity can also increase the burden on orchestration and system management. In MEC, user hardware is connected through gateways to microservices running on the edge host. There are three levels in each of the edge systems: 1) microservices perform a logical operation with components for motion track analysis, 2) movement foresight and 3) outcome visualization. The distributed service is realized with Docker containers and calculated on actual world adjustment with low capacity edge servers and real user mobility information. The results demonstrate the fact that the edge perspective of low latency may be encountered in this sort of implementation. The integration of a software creation technology with a standardized edge system supplies respectable basis for subsequent development. The paper considers the application of the boundary computing architecture and Kubernetes as an orchestration and management of network applications.