Fog computing support scheme based on fusion of location service and privacy preservation for QoS enhancement

In the case of large-scale concurrent multimedia services, the resource utilization, QoS guarantee ability and system execution efficiency of distributed multimedia systems are facing many challenges. In order to further solve the above problems, this paper introduces fog computing into distributed multimedia systems and large-scale concurrent multimedia services, and considers the privacy protection of location services. Firstly, in order to solve the limitations of computing, storage, energy continuity, network access and other aspects of the fog node mobile devices, the framework of the fog computing multimedia information service system is constructed to obtain accurate location service data of the mobile terminal. At the same time, collaborative control of fog nodes, fog computing support nodes, public networks and other devices, to achieve the various functions of multimedia services. Secondly, to further improve the efficiency and security of fog computing, this section studies the time slice, bandwidth, hardware and other network resource allocation and management algorithms. Finally, the superiority and feasibility of the proposed algorithm in enhancing QoS performance are validated from different aspects of mathematical analysis and simulation experiments. For example, the resource utilization of multimedia system is increased by 1.34 times, and the load balancing capability and real-time guarantee are improved.