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Credible and economic multimedia service optimization based on game theoretic in hybrid cloud networks

2019; Volume: 33; Issue: 8 Linguagem: Inglês

10.1002/ett.3779

2161-5748

Tengfei Cao, Lujie Zhong, Han Xiao, Chengru Song, Shujie Yang, Changqiao Xu,

IoT and Edge/Fog Computing

Abstract The cloud network has the advantages in efficiently offloading the large‐scale Internet traffic, which is considered as a promising architecture to provide the satisfactory multimedia services for mobile users. However, most current studies lack the joint consideration of economic and security of services in hybrid cloud networks. In this paper, a novel multimedia service optimization mechanism is proposed hereby to meet the user's requirements mentioned above while guaranteeing the reliability of service. Firstly, a credible scheme is designed to help the mobile users distinguish the reliable cloud providers. Meanwhile, a blockchain‐based content credibility approach is further designed to guarantee the reliability and integrity of video contents. Moreover, a noncooperative Stackelberg game model is presented to maximize the profit of each party. Furthermore, the equilibrium of this game is achieved by the methods of backward induction and gradient descent. Finally, extensive simulations demonstrate that our solution has efficient performance in terms of secure service ratio, utility, service pricing, etc.