Robust Optimization Model for Designing Emerging Cloud-Fog Networks

摘要

I focus on designing the placement and capacity for Internet of Things (IoT) infrastructures consisting of three layers; cloud, fog, and communication. It is extremely difficult to predict the future demand of innovative IoT services; thus, I propose a robust design model for economically constructing IoT infrastructures under uncertain demands, which is formulated as a robust optimization problem. I also present a method of solving this problem, which is practically difficult to solve. I experimentally evaluated the effectiveness of the proposed model and the possibility of applying the method to this model to practical scaled networks.