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A Privacy-aware Computation Offloading Method for Virtual Reality Application

As a new technology, virtual reality (VR) is constantly enriching people’s experience. VR application has high requirements for the performance VR devices, but the computing resources of VR devices are limited. Mobile edge computing provides an effective solution to solve the above issue by offloading VR application to edge servers (ESs) for processing. Nevertheless, the resources of ESs are limited and heterogeneous. And thus, it is necessary to consider the load balancing of ESs. In addition, user privacy protection in the process of computation offloading is another issue that needs to take into consideration. In view of this, in this paper, we investigate the computation offloading for VR applications with privacy protection. Technically, we propose a privacy-aware computation offloading method based on multi-objective optimization genetic algorithm to obtain the optimal strategy for VR application. Finally, it is shown that the proposed method is effective through extensive experiments.