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Multimedia Service Distribution Optimization in Edge Cloud Networks

With the rapid development of Internet technology, audio-visual entertainment video sites now have a large number of users. Considering how to distribute the multimedia resource better and enhance the user experience is a key issue. Although researchers have proposed many resource allocation mechanisms related to the multimedia service distribution, most of the existing researches on multimedia resource distribution algorithms only pay attention to the delay caused during transmission and the shortage of resource bandwidth. Those studies presuppose the network congestion, which ignores the dynamics of network congestion. In this paper, we propose a multimedia resource distribution optimization algorithm to solve the problems of the energy optimization and the efficiency maximization in edge cloud networks. Using Lyapunov stochastic algorithm to transform the problem of multimedia service distribution into a queue stability issue. Finally, simulation experiment results show the performance of Lyapunov stochastic algorithm in multimedia service distribution.