Computing Power Slicing Strategy Based on Deep Reinforcement Learning Under the Constraint of Services Intention

In order to fully exploit the advantages of computing power optical networks, we propose a computing power slicing strategy based on Deep Reinforcement Learning under the constraint of services intention. The simulation results show that this scheme performs best in terms of average delay and overall network blocking probability.