计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 494-497.doi: 10.11896/j.issn.1002-137X.2017.11A.105
袁鑫攀,汪灿飞,龙军,彭成
YUAN Xin-pan, WANG Can-fei, LONG Jun and PENG Cheng
摘要: M-Chord是一种基于P2P网络的高维向量索引,其聚类边缘的向量容易与搜索圆频繁相交,使得查找的区域增多,降低了M-Chord的效率。提出一种基于聚类分离的分布式高维向量索引(CS-Chord),将边缘区域的高频检索向量从Chord环中分离出来,集中存储在服务器上,中心区域的向量仍存储于Chord环中,节省了大量资源的定位时间,从而提高检索效率。实验结果表明:在查询半径为0.2时,CS-Chord距离计算次数约为2000,比M-Chord减少了约2500次;CS-Chord消息转发次数约降低150次,仅为M-Chord的50%。
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