Energy Consumption Reduction through Resource Allocation Using Docker

Security network cameras are widely used in various fields and AI-based image processing algorithms improve the performance of these systems. AI-based algorithms go hand in hand with high energy consumption and this issue is addressed by related works. However, the reduction of AI energy consumption is still a fundamental task. This paper proposes a security camera system with two application streams. We use Docker to allocate computing resources to these two applications in various ways to find a better allocation that consumes less energy. Experimental results demonstrate the possibility of reducing energy consumption by allocating computing resources.