Design and Analysis of Service Resource Allocation Scheme Based on Mobile Edge Computing

With the rapid development of communication technology, the scale of user data grows exponentially. In the diversified service scenarios, the data processing speed is required more strictly in order to guarantee the service quality. Mobile edge computing technology makes the server closer to the terminal and assists the terminal to process data nearby, bringing better user experience. In mobile edge computing system, most terminal devices have strong mobility, and it is easy to cause service interruption because terminal devices are out of the service scope of the server after a few moments. In addition, the importance of the offloading task varies from one task to another, so the importance index should also be considered in the offloading request scheduling. This paper mainly studies the request scheduling problem in the field of computational offloading, and divides the problem into two stages: two-dimensional decision making and offloading. During the research, the mobility of terminal devices and the characteristics of tasks are considered, and a reward evaluation algorithm based on DDQN (Double Deep Q Network) is designed to generate scheduling strategies.