摘要： 针对异常数据的实时过滤问题，提出一种基于Savant中间件的异常数据处理算法。根据Savant中间件的功能和特点，在异常过滤器模块中增加存储单元，采用队列方式辅助数据树过滤异常数据。通过仓储管理的出入库模拟实验验证了该算法的有效性，并表明该算法具有较好的过滤效果，适合于大规模数据集中的异常数据处理。
关键词:
Savant中间件,
物联网,
无线射频识别,
异常处理
Abstract: Aiming at the abnormal data real time filtering problem, this paper puts forward a Savant middleware based on abnormal data processing algorithm. According to the functions and characteristics of the Savant middleware, designs the exception filter module, adds storage unit and uses queue method to filtrate the abnormal data. It proves the effectiveness of the algorithm by the storage management storage simulation experiment, and shows that the algorithm has a good filtering effect, it is suitable for abnormal data processing of large-scale data set.
Key words:
Savant middleware,
Internet of Things(IOT),
Radio Frequency Identification(RFID),
exception handling
中图分类号:
陈华山, 王熠, 刘宪成, 周娟. 基于Savant中间件的异常数据处理算法[J]. 计算机工程, 2012, 38(21): 30-32.
CHEN Hua-Shan, WANG Yi, LIU Xian-Cheng, ZHOU Juan. Exception Data Handling Algorithm Based on Savant Middleware[J]. Computer Engineering, 2012, 38(21): 30-32.