Cloud computing technologies have seized the attention of different governments, industries, and academic institutions as they offer tremendous potential for new business opportunities in terms of scheduling efficiency, storage capacity, and availability. Yet, they have particular challenges that hinder cloud integration in new emerging technologies and systems. This work presents three principals applications of Cloud computing. The first application issue is for smart grid energy management. It proposes three principal contributions: 1) considering the scheduling of electric vehicles (EVs) energy demands for charging and discharging as a case study, we propose a new energy scheduling model for smart grid based on Cloud computing, 2) in order to reduce the energy cost and energy peak loads, we propose a real-time dynamic pricing policy, 3) to secure energy smart metering infrastructure against false data injection attacks in smart grid environment, we propose a new security scheme, labeled SecMetering. SecMetering is based on hierarchical and distributed intrusion detection system. The second application is designed for scheduling industrial internet of things data; we propose a new hierarchical and decentralized Fog architecture. The third application concerns vehicular networks. We propose two new architectures based on distributed SDN: 1) a hierarchical SDN-based wireless vehicular Fog, labeled HSVF, 2) a framework that uses 5G networks based SDN to enhance the performance of autonomous driving applications.