Optimizing the docker container usage based on load scheduling

Abstract

In this project we introduce an energy-aware processing model used for balancing the load of docker container and job scaling using docker(1). The approach used is to create an energy optimal regime within which the containers operate. An important strategy for energy reduction is concentrating the load on the containers. When the load increases, then by api call a new container can be spawned which can the allocated with jobs to process. The container can be created automatically based upon threshold conditions. This ensures that the rest of the container is not over-loaded with jobs. When the load decreases that container can be killed to save energy. The Energy-Aware scaling algorithm is used which ensures that the largest possible number of containers operate within their respective operational domain.