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Hierarchical Collaborative Cloud and Fog Computing in IoT Networks

The ever growing demand of Internet of Things (IoT) devices for wireless access imposes great challenges in the current cellular systems and call for novel approaches for wireless network design. This paper considers a hierarchical cloud-fog communication network. By using the real-life user data, following the long-term data features and combing with online bandit saddle-point (BanSap) method in short-term, we develop a joint energy and time consumption optimization method for fog and cloud computing for IoT network. The number of active servers in the access layer is optimized based on the workload prediction model. Simulation results show that our proposed scheme can achieve a better performance in delay and energy consumption.