# Dynamic Network Resource Autonomy Management and Task Scheduling Method
###### Abstract
Still, the process also has shortcomings, such as insufficient anti-interference ability and difficulty evaluating the fairness index. Hence, future research needs to be carried out more deeply in future research [6], solutions for interference, etc. Furthermore, in modern communication, 5G, IoT, remote sensing, and other fields, satellite scheduling, and satellite systems also play an irreplaceable role, and it is increasingly vital to ensure the efficiency and reliability of the scheduling system. In addition, since the traditional scheduling algorithm cannot adapt well to the dynamic change problem in the satellite scheduling process, we must improve and optimize the old algorithm using a dynamic scheduling algorithm. Finally, based on the resource management architecture, we can better manage and utilize the resources, thus improving the system's efficiency. Therefore, finding a more comprehensive and efficient dynamic scheduling algorithm to solve the problems arising in the satellite scheduling process is increasingly important. For the unsolved problems, we combine the scheduling ideas of resource evaluation, mission scheduling, mission execution, mission feedback, and evaluation by summarizing the previous studies. Our approach is to monitor the usage of satellite resources in real-time through unified management and configuration of satellite resources with the support of dynamic scheduling algorithms. The resources are reasonably allocated according to the priority of satellite missions and available resources to ensure efficient utilization. Last, we make sure the efficient operation of satellites and complete tasks. The contributions of this paper are summarized as follows. 1. To solve the under-utilization of resources, we include resource sharing in our method to achieve dynamic allocation and uniform distribution of resources and improve the resource utilization of the satellite network. 2. To address the problem of efficient task execution, we ensure the high timeliness of the tasks assigned in the satellite network through resource monitoring technology and the monitoring of satellite status so that they can be completed within the specified time, increasing the task completion rate. 3. For the scheduling fairness problem, our proposed dynamic scheduling algorithm is more reasonable and fair in the satellite scheduling process than other algorithms. 4. Solving the problem that traditional scheduling algorithms are difficult to adapt to the dynamic changes in the process of satellite schedule. 5. Through simulation experiments, we verify the advantages of our proposed method, such as efficiency and effectiveness, and conclude that the technique can improve task completion efficiency, optimize resource utilization, and cope with changing task demands, thus enhancing the efficiency of the whole system. Compared with other satellite scheduling-related work, the main feature of our work is the use of dynamic scheduling algorithms based on resource management architecture for optimization. On the one hand, it can better grasp the resource situation of satellites, and on the other hand can make adaptive adjustments for the system, thus ensuring the system's reliability and improving the scheduling efficiency. Our innovative and practical work can provide relevant references for research and applications in this field.