# Dynamic Network Resource Autonomy Management and Task Scheduling Method
###### Abstract  
Satellite network resource management and scheduling technology are significant to constructing integrated information networks in heaven and earth. The difficulty in realizing this technology lies in improving resource utilization efficiency while ensuring the service quality of satellites and efficiently coordinating complex satellite network systems and services. This paper proposes a model, A Dynamic task scheduling method based on a UNified resource Management architecture(DUNM), based on the designed resource management architecture supported by dynamic scheduling algorithms to address the problems of low resource utilization, resource allocation, and task completion rate. First, with sufficient resources, the task execution time to complete a task is calculated based on the number of resources, task transmission time, task waiting time, etc. Secondly, based on the tasks assigned to satellites, the execution time of all functions with different transmission rates of communication links between satellites is calculated, and the total sum of all time consumption is analyzed. Finally, after simulation experiments and comparison with various baseline algorithms, about a 40% reduction in time to complete scheduled tasks and an almost 25% reduction in the average cost to finish a scheduling task, our method has higher scheduling efficiency and lower task completion revenue. It also guarantees a higher task completion rate while completing the tasks. Our approach attained a nearly 100% completion rate for scheduling tasks, which means that our algorithm can achieve the scheduling tasks faster and at high task revenue, thus improving the efficiency and economic efficiency of the whole system. Therefore, it validates the advantages of our method, such as high efficiency and high revenue. spatial networks; dynamic networks; task scheduling; resources management  
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4. Task scheduling for the already allocated resources, determining the transmission of tasks according to different requirements, etc. 5. Starting the execution of satellite tasks according to the defined planning, performing communication, and ensuring the orderly execution of tasks. 6. Monitoring the indicators of the satellite network. 7. Analyzing the scheduling results and determining the next step [4]. Due to the increasing complexity of satellite networks, this technology has many challenges in the research process. In the execution of satellite scheduling tasks, the satellite network resource management and scheduling technology also have some difficulties in the process of implementation, which include the following aspects: 1. The significant number of satellites leads to the problem of managing resources in the sky orbit [5]. 2. Because of the resource demand for satellites, The need for a dynamic scheduling method is even more critical because of the rapid changes in satellite resource requirements [1]. 3. When performing the assigned tasks, it is essential to achieve fair scheduling due to the more diverse service needs to be met by the satellite network. 4. During the operation of the satellite network, there may be scheduling disturbances due to the operating environment's complexity. As the complexity of satellite computing continues to increase, finding an efficient algorithm to implement the scheduling task is essential. Furthermore, Satellite network resource management and scheduling technology is a relatively popular research direction. With the research of scholars and institutions in China and abroad, some initial progress has been made, such as the satellite scheduling method based on a genetic algorithm and a popular research direction in satellite network resource management and scheduling technology. Some general satellite scheduling methods include dynamic scheduling methods based on resource demand and fairness-based scheduling algorithms. The research mainly focuses on balancing each satellite's market and available resources.