Abstract: The combination of Mobile Edge Computing (MEC) and blockchain can enhance the computing power of “mining” nodes. Data compression can reduce the size of uninstalled data, which reduces the uninstallation delay. Using this advantage, this paper introduces data compression into the mobile edge computing network that supports blockchain, and designs a computing delay minimization offloading strategy to meet the requirements of node mining for two scenarios: shared MEC server computing resources and dedicated MEC server computing resources. For the shared MEC server computing resource scheme, a multi-dimensional resource allocation problem with minimum system computing delay was established by jointly optimizing the user offloading rate and compression rate. Due to the existence of variable coupling and max-max function, the established problem was not convex. By introducing relaxation variables and auxiliary variables, the problem was transformed into a convex problem and the optimal solution was obtained. For the dedicated MEC server computing resource scheme, jointly optimize the unloading rate, compression rate and computing resources to establish a resource allocation problem that minimizes computing delay. Due to the existence of variable coupling and max-max function, the optimization problem is non-convex, and the problem is transformed by relaxation variables and auxiliary variables. And with the aid of Block Coordinate Descent (BCD) algorithm to the problem is decomposed into two convex problems, then puts forward an iterative algorithm based on BCD to get the optimal solution. Finally, the correctness of the proposed algorithm and the superiority of the proposed strategy in calculating the delay are verified by simulation.

Key words: Internet of Things, Edge computing, Blockchain, Resource allocation, Computational offloading