In the future, 6G will have the characteristics of “network can reach everything, computing power is everywhere, and intelligence is everywhere”. Computing network convergence is the development trend of future mobile communication networks. Communication and computing will achieve deeper integration at the 6G network architecture and protocol level, and will bring potential problems of energy conservation. 6G wireless networks need communication and computing collaborative allocation scheme. At the same time, 6G has the characteristics of “high system, high complexity, high dynamic and high reliability and quality assurance”. The communication and computing collaborative allocation scheme needs to adapt to the dynamics and complexity of the 6G network, reduce the impact of allocation decisions on the network and improve the system performance while reducing the system energy consumption. In this paper, we propose a collaborative allocation scheme of computing resources based on the digital twin network, design the short-term and long-term prediction mechanism, the pre-verification and optimization mechanism of resource allocation scheme, and carry out simulation verification. This scheme can improve business performance, reduce system energy consumption, adapt to network changes faster, and reduce decision-making risk.