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为解决电信企业云计算数据中心基础设施管理中的容量管理问题.采用理论分析和实验的方法,以理解数据中心系统历史容量使用为依据,利用指数平滑法建立容量预测模型,并考虑业务突发对模型的影响,利用斜率调整因子和截距调整因子优化预测模型,实验验证了通过模型计算容量与系统真实占用容量接近的结果.研究结果表明:数据中心系统未来容量需求可以通过历史容量分析建立指数平滑模型来预测.研究结论初步突破了数据中心系统容量不可预测、难于管理的认识,通过容量管理可以使电信业保持系统容量利用率、成本以及服务质量之间的平衡,提升系统资源利用率,提升服务可用性,解决资源瓶颈.
In order to solve the problem of capacity management in infrastructure management of cloud computing data centers in telecom enterprises, theoretical analysis and experiment methods are used to understand the historical capacity of data center systems, and the exponential smoothing method is used to establish the capacity prediction model, The model is optimized by using the slope adjustment factor and the intercept adjustment factor to optimize the prediction model. The experimental results show that the capacity calculated by the model is close to the actual capacity of the system. The results show that the future capacity needs of data center systems can be established by historical capacity analysis Exponential smoothing model.The conclusions of the research break through the unpredictable and unmanageable capacity of the data center system, and make the telecom industry maintain the balance between system capacity utilization, cost and service quality through capacity management, and improve system resource utilization , Improve service availability and solve resource bottlenecks.