As the core issue of blockchain, the mining requires solving a proof-of-workpuzzle, which is resource expensive to implement in mobile devices due to highcomputing power needed. Thus, the development of blockchain in mobileapplications is restricted. In this paper, we consider the edge computing asthe network enabler for mobile blockchain. In particular, we study optimalpricing-based edge computing resource management to support mobile blockchainapplications where the mining process can be offloaded to an Edge computingService Provider (ESP). We adopt a two-stage Stackelberg game to jointlymaximize the profit of the ESP and the individual utilities of differentminers. In Stage I, the ESP sets the price of edge computing services. In StageII, the miners decide on the service demand to purchase based on the observedprices. We apply the backward induction to analyze the sub-game perfectequilibrium in each stage for uniform and discriminatory pricing schemes.Further, the existence and uniqueness of Stackelberg game are validated forboth pricing schemes. At last, the performance evaluation shows that the ESPintends to set the maximum possible value as the optimal price for profitmaximization under uniform pricing. In addition, the discriminatory pricinghelps the ESP encourage higher total service demand from miners and achievegreater profit correspondingly.
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