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Edge computing overcomes the high communication delay shortcoming of traditional cloud computing and provides computing services with high reliability and high bandwidth for mobile devices. At present, edge computing has become the forefront and hotspot of mobile-edge cloud computing (MEC) research. However, with the increasing requirements and services of mobile users, offloading strategy of simple edge computing is no longer applicable to MEC architecture. This paper puts forward a new intelligent computation offloading based MEC architecture in combination with artificial intelligence (AI) technology. According to the data size of computation task from mobile users and the performance features of edge computing nodes, a computation offloading and task migration algorithm based on task prediction is proposed. The computation task prediction based on LSTM algorithm, computation offloading …