Abstract
Caching has become more and more important in mobile video delivery with the development of communication technology, which can reduce redundant data transmissions and decrease costs. In this paper, we consider a multiple bitrate caching system consisting of a network service provider (NSP) in charge of edge cloud with caching and processing capacity, a set of video providers (VPs), and multiple mobile users. The NSP leases the storage space of the edge cloud to VPs and VPs place their videos in edge cloud to provide better services for mobile users. The competition between NSP and VPs is modeled as a Stackelberg game. We first solve the knapsack problem to find the optimal cache placement strategy for each VP based on the allocated space to maximize its profit and then adjust the allocation strategy to maximize the profit of NSP. Moreover, we develop a dynamic programming algorithm and a multiple bitrate caching algorithm to find the Stackelberg equilibrium (SE). The numerical results show the effectiveness of proposed algorithms on pricing and cache placement.
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