A Resource Mapping Method in Cloud-Based Satellite Ground System

The cloud-based computing platform of FY-meteorological satellite ground application system carried more and more tasks, which need to improve the efficiency of tasking virtual resource utilization within the limited system resources. When resource mapping mission, which not only need to consider the priority of the task, but also consider the relationship between resource needs and allocated resources. According to these characteristics requirements, this paper proposed a resource mapping method based on multi-priority coefficient. First, the definition of task weights were given, and the definition of task queue priority factors were given according to the task queuing time. Then, the correlation coefficient method was introduced to calculate the correlation coefficient between tasks required for processing resources and resource pool that can be allocated resources. Finally, task comprehensive priority measure were calculated according to the conditions of multi-resource mapping and the multipriority factors. Experimental results show that the proposed method can improve the cloud system resource utilization, and can meet the timely needs of multi-tasking.