基于MILP的云计算数据中心扩张策略优化模型
发布时间：2019-03-06 18:32
【摘要】：随着云计算系统的日益发展,云服务提供商需要对大规模数据中心进行不断扩张,为此,提出一种基于混合整数线性规划(MILP)的数据中心扩张策略优化模型.综合考虑了流量负载、能耗、电力成本、土地成本、税率、服务器利用率等多种约束,构建MILP模型,在满足用户的服务级别协议(SLA)下,求解最优扩张策略,使服务商利润最大化.其中,扩张策略包括扩建现有数据中心和在何时何地新建数据中心等措施.仿真实验结果表明,该模型能够根据实际情况获得最优扩张策略,提高了利润.
[Abstract]:With the development of cloud computing systems, cloud service providers need to expand large-scale data centers. Therefore, an optimization model of data center expansion strategy based on mixed integer linear programming (MILP) is proposed. Considering the constraints of traffic load, energy consumption, power cost, land cost, tax rate, server utilization ratio and so on, the MILP model is constructed, and the optimal expansion strategy is solved under the service level agreement (SLA). Maximize the profit of the service provider. Among them, the expansion strategy includes expansion of the existing data center and when and where to build the data center and other measures. The simulation results show that the model can obtain the optimal expansion strategy according to the actual situation and improve the profit.
【作者单位】： 丽水学院工程与设计学院;
【基金】：浙江省教育科学规划项目(2014SCG386) 浙江省教育技术研究规划课题(JB055)
【分类号】：TP308
，
本文编号：2435794
[Abstract]:With the development of cloud computing systems, cloud service providers need to expand large-scale data centers. Therefore, an optimization model of data center expansion strategy based on mixed integer linear programming (MILP) is proposed. Considering the constraints of traffic load, energy consumption, power cost, land cost, tax rate, server utilization ratio and so on, the MILP model is constructed, and the optimal expansion strategy is solved under the service level agreement (SLA). Maximize the profit of the service provider. Among them, the expansion strategy includes expansion of the existing data center and when and where to build the data center and other measures. The simulation results show that the model can obtain the optimal expansion strategy according to the actual situation and improve the profit.
【作者单位】： 丽水学院工程与设计学院;
【基金】：浙江省教育科学规划项目(2014SCG386) 浙江省教育技术研究规划课题(JB055)
【分类号】：TP308
，
本文编号：2435794
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