Containerized Resource Provisioning Driven by User Preference

Container, as a light-weight virtualization solution, emerges in recent years, and provides effective approaches for managing computing resources. Due to the complexity of the containerized computing environment, setting up runtime configuration presents a great challenge. To make better use of hardware resources and simplify the processes of environment setup, we propose a resource provisioning approach that models the container configuration as a Multiple Criteria Decision Making problem, by introducing the concept of intuitionistic fuzzy values. The validation results show that with appropriate customization steps and natural user interfaces, user preferences can be reflected effectively in the final configurations of containers.