Improvement of Cloud Platform Utilization Based on Evaluation and Optimization of Computing Resource Runtime Surplus Capacity

In cloud computing, users may face the problem of resource shortage. In this regard, overcapacity is an important issue. In traditional computer systems, when CPU and memory resources are scarce, it will lead to serious performance degradation or even crash. However, in a cloud computing environment, if the client has no resource constraints (for example, CPU and memory), it can be used to improve the utilization efficiency of other resources such as storage and network bandwidth. This paper proposes a new evaluation method, which is based on the evaluation results of runtime residual capacity obtained from real data and simulation model analysis. The results obtained in each area will indicate whether these computing resources are worth utilizing. In addition, we need to consider other factors, such as cost and safety.