RQ1: How does the performance of our NSGA-III technique in scheduling containers compare to state-of-the-art search algorithms?
This question aims to compare the effectiveness and the efficiency of our many-objective optimisation algorithm to the state-of-art search algorithms. We first compare the quality indicator metrics (i.e., Hypervolume (HV), Inverted Generation Distance (IGD), the Contribution (IC) of the search algorithms. Then, we identify the best performing algorithm in terms of reducing the power, CPU and memory consumption.
ICSE'23-- Many-Objective Software Containers Management in Smart Vehicles