针对当前的云计算服务器缺少对不稳定数据的识别与检测，设计并实现一种云服务器中不稳定数据挖掘系统。介绍系统的总体结构，利用数据采样预处理模块实现从源数据到挖掘数据的映射，完成离散化、数据过滤等处理过程。依据2.0 mm ERmet Hard Metric 连接器，采用 RapidIO协议，通过接口模块完成数据间的传输，以达到信号传输效率与稳定性的要求。通过数据挖掘模块对云服务器中不稳定数据的确认与挖掘，将挖掘结果传输至控制模块进行处理。软件设计过程中，对云服务器中不稳定数据挖掘系统进行了详细地分析，并给出不稳定数据挖掘的实现过程以及系统部分程序代码。实验结果表明，所设计的系统具有很高的实用性和可靠性。%Since the current cloud computing server lacks recognition and detection of unstable data,a mining system of un⁃stable data in cloud server was designed and realized. The overall structure of the system is introduced. With the data sampling pretreatment module,the mapping from the source data to the mining data is implemented,and the process of discretization and data filtering is completed. Based on 2.0 mm ERmet Hard Metric connector,the RapidIO protocol is used to complete the data transmission through the interface module,and meet the requirements of the signal transmission efficiency and stability. The un⁃stable data in the cloud server is validated and mined by means of data mining module. The mining results are transmitted to the control module for processing. In the process of software design,the unstable data mining system in the cloud server was ana⁃lyzed in detail. The implementation process of unstable data mining and the part program codes of the system are given. The ex⁃perimental result shows that the system has high practicability and reliability.
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