Business rule matching efficiency optimization problem is researched. The business rules number of enterprises is high and efficiency is low in traditional matching algorithm. In order to improve the efficiency of business rules matching, cloud computing theory of node sharing and index query optimization technology are introduced into the Rete matching algorithm, producing an business rule matching algorithm of Rete improved with cloud computing. Firstly, rules network and the fact are constructed, then the node sharing technology is used to reduce spatial redundancy. Finally, the index query optimization technology is used to search for the traversal of the network, thereby increasing the matching efficiency. Three simulation results of the improved Rete algorithm performance testing show that the improved Rete algorithm improves the business rule matching efficiency and solves the traditional algorithm of real time, and resource occupancy rate is high.%研究业务规则匹配效率优化问题,由于企业业务规则数目多,逻辑变化复杂,内存消耗大,导致传统匹配算法效率低.为提高了业务规则匹配效率,将云计算理论中的节点共享和索引查询优化技术引入到Rete匹配算法中,产生一种根据云计算改进的Rete业务规则匹配算法.首先构建规则网络和事实,然后采用节点共享技术降低空间冗余,最后采用索引查询优化技术进行搜寻,遍历这个网络,从而提高匹配的效率.通过3个仿真对改进后Rete算法性能进行测试,仿真结果表明,改进Rete算法提高了业务规则匹配效率,解决了传统算法实时性差的问题,资源利用率高,为企业优化管理提供了依据.
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