计算机科学 ›› 2019, Vol. 46 ›› Issue (6): 201-205.doi: 10.11896/j.issn.1002-137X.2019.06.030
所属专题： 数据库技术
杨瑞君1, 祝可1, 程燕2
YANG Rui-jun1, ZHU Ke1, CHENG Yan2
摘要： Web缓存用于解决网络访问延迟和网络拥塞问题,缓存替换策略直接影响缓存的命中率。为此,文中提出一种基于访问预测机制的Web缓存替换策略。首先,根据用户之前的访问日志,通过预处理操作提取多项特征以构建特征数据集。然后,通过训练支持向量机(SVM)分类器来预测缓存对象是否可能被再次访问,将分类为不会再次被访问的缓存对象删除以腾出空间。仿真结果表明,与传统的LRU,LFU和GDSF方案相比,提出的策略具有较高的请求命中率和字节命中率。
中图分类号:
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