Combining Container Orchestration and Machine Learning in the Cloud: a Systematic Mapping Study

Abstract

Containerization is a virtualization technology that facilitates the deployment of applications. Container Orchestration is the process of automating the deployment, management, scaling and networking of containers. In this systematic mapping study, we are presenting the analysis of recent scientific papers that deal with containerization and container orchestration in the cloud, combined with machine learning, and how these are utilized to solve problems in different application areas. Currently new challenges arise related to the processing of big data, but also the optimized management of increasing amount of heterogeneous workloads in a cloud environment. The analysis results from the publications of recent years show the growing interest in the scientific community in these evolving technologies - container orchestration from one hand and utilizing machine learning on the other. The emphasis of the study are the trends and innovations, the orchestration technologies and strategies, the machine learning algorithms. Evaluating the relevance of the proposed solutions and ideas for future research are also outlined.