Dynamic CPU Resource Allocation in Containerized Cloud Environments

In recent years, lighter-weight virtualization solutions have begun to emerge as an alternative to virtual machines. Because these solutions are still in their infancy, however, several research questions remain open in terms of how to effectively manage computing resources. One important problem is the management of resources in the event of overutilization. For some applications, overutilization can severely affect performance. We provide a solution to this problem by extending the concept of timeslicing to the level of virtualization container. Through this approach we can control and mitigate some of the more detrimental performance effects oversubscription. Our results show significant improvement over standard scheduling with Docker.