A predictive and priority-based resource allocation strategy for OpenStack cloud platform

This paper proposes a Predictive and Priority-based Dynamic Resource Allocation strategy (PPRA) designed to improve resource management in cloud computing platforms. By analyzing forecasted loads and the priorities of different tasks, PPRA dynamically adjusts resource allocations to optimize the overall performance of the system. Experiments show that compared to traditional random allocation and static threshold strategies, PPRA excels in resource utilization, Service Level Agreement (SLA) compliance rate, average response time, and system throughput. These results verify the potential and advantages of the PPRA strategy in applications with rapidly changing cloud computing demands.