Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

Abstract

Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation. Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures for automated application management. To handle the automation of deployment, maintenance, autoscaling, and networking of containerized applications, container orchestration is proposed as an essential research problem. However, the highly dynamic and diverse feature of cloud workloads and environments considerably raises the complexity of orchestration mechanisms. Machine learning algorithms are accordingly employed by container orchestration systems for behavior modelling and prediction of multi-dimensional performance metrics. Such insights could further improve the quality of resource provisioning decisions in response to the changing workloads under complex environments. In this paper, we present a comprehensive literature review of existing machine learning-based container orchestration approaches. Detailed taxonomies are proposed to classify the current researches by their common features. Moreover, the evolution of machine learning-based container orchestration technologies from the year 2016 to 2021 has been designed based on objectives and metrics. A comparative analysis of the reviewed techniques is conducted according to the proposed taxonomies, with emphasis on their key characteristics. Finally, various open research challenges and potential future directions are highlighted.

Coplanificación de procesos maleables de aprendizaje automático mediante contenedores

“…La utilización de contenedores para la ejecución de algoritmos de ML (u otro tipo de aplicaciones) se ha popularizado como una solución de virtualización ligera que brinda, entre otras ventajas, una mejor administración de los recursos y mayor portabilidad. Existen múltiples técnicas de orquestación de contenedores para proveer un proceso de gestión automatizado, incluyendo administración de recursos, desarrollo, supervisión del estado, equilibrado de carga, seguridad y configuración de la red [12]. En su mayoría basándose en Docker [13], estas técnicas son utilizadas por frameworks de orquestación tales como Docker Swarm [14], Kubernetes [15] y Marathon [16].…”