Server placement method with conditional generative adversarial networks for designing edge computing systems

This paper proposes a server placement method with conditional generative adversarial networks (CGAN) for edge computing system design. The proposed method predicts appropriate location of edge servers without solving optimization problems by using network images for training CGAN. Through numerical evaluation, we show the effectiveness of the proposed method.