基于排队论的在线交易处理服务器配置 决策方案

摘要

电子商务频繁，在线交易量指数式增长，要求网络处理平台不断扩容升级。针对在线交易中心，服务器配置不准确，适应性差的问题，本文研究一种基于排队论的服务器配置方法。首先，采用G/M/c的排队论模型对交易请求的处理过程进行仿真建模，给出交易请求响应时间的估算公式，由此设计交易服务速度的计算方法。然后，通过实验建立服务器服务速度与服务器物理配置之间的对应关系，给出服务器物理配置的决策方案。实际应用表明，本文方法相可满足各种在线交易的服务器集群配置需求。 Frequent e-commerce and exponential growth in online transaction volume require continuous expansion and upgrade of network processing platforms. Aiming at the problem of inaccurate server configuration and poor adaptability in online trading centers, this paper studies a server configuration method based on queuing theory. First, the G/M/c queuing theory model is used to simulate the processing process of the transaction request, and the estimating formula of the transaction request response time is given, thereby designing the calculation method of the transaction service speed. Then, the corresponding relationship between server service speed and server physical configuration is established through experiments, and a decision-making plan for server physical configuration is given. Practical application shows that the method in this paper can meet the server cluster configuration requirements of online transactions in various Chinese companies.