摘要
为了提高多源数据库缓存冲突调整能力,提出一种基于粗糙集的多源数据库缓存冲突自动处理方法。构造多源数据库缓存数据疏导模型,采用负载均衡调度方法进行多源数据库缓存的均衡配置,结合模糊粗糙集特征提取方法进行多源数据库缓存数据特征挖掘,提取多源数据库缓存数据的粗糙集特征量;采用多元信息重组和大数据信息融合方法,进行多源数据库缓存冲突的自适应调整;通过粗糙集的分布式属性,实现多源数据库缓存冲突自动处理。仿真结果表明,采用该方法进行多源数据库缓存冲突处理的均衡配置能力较好,可降低数据拥堵风险,减少冲突出现的轮数,降低死亡节点的数量,提高多源数据库缓存的均衡性和安全性。
In order to improve the ability of multi-source database cache conflict adjustment,a multi-source database cache conflict automatic processing method based on rough set is proposed.The multi-source database cache data channeling model is constructed,the load balance scheduling method is used to balance the multi-source database cache,the multi-source database cache data feature mining is carried out with the fuzzy rough set feature extraction method,and the rough set features of multi-source database cache data are extracted.The multi-source database cache conflict is adjusted adaptively by multiple information reorganization and big data information fusion method.Through the distributed attributes of rough set,the cache conflict of multi-source database can be handled automatically.The simulation results show that the multi-source database cache has better equalization configuration ability,reduces the risk of data congestion,the number of rounds of conflict and the number of dead nodes,and improves the balance and security of multi-source database cache.
作者
李希敏
李书琪
LI Xi-min;LI Shu-qi(Shaanxi Technical College of Finance and Economics,Xianyang 712000,China;School of Science,Beijing Jiaotong University,Beijing 100044,China)
出处
《计算机与现代化》
2020年第10期36-39,115,共5页
Computer and Modernization
关键词
粗糙集
多源数据库
自动处理
rough set
multi-source database
automatic processing