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计算机系统应用英文版:2016,25(4):86-90
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面向大规模金融对账文件的近似比对模型及系统
(1.中国银联股份有限公司, 上海 201201;2.中国科学院软件研究所, 北京 100190)
Massive Financial Reconciliation File Approximate Comparison Model and System
(1.China UnionPay, Shanghai 201201, China;2.Institute of Software, Chinese Academy of Sciences, Beijing 100190, China)
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Received:July 23, 2015    Revised:September 14, 2015
中文摘要: 针对TB级的大规模金融对账文件的近似比对问题,本文深入分析了金融对账文件的特点,以提升比对速度作为研究目标,提出了一种多层次的近似比对模型-UpCompare模型.UpCompare模型以多进程为扩展基础,采用哈希索引建立映射表结合快速致胜策略为核心算法.测试结果表明,运用UpCompare模型,我国银行卡清算系统的每日清算文件近似比对效率提升了5倍以上.
Abstract:Focus on TB Level massive financial reconciliations file approximate comparison problem, this paper researched a number of the financial reconciliations file features to enhance the mass data comparing speed in financial sector, and proposed a multi-level approximate comparison model-UpCompare Model. UpCompare Model is a kind of multi-process technology based on hash index table, using fast winning strategy as the core algorithm, effectively solving the massive financial reconciliations file approximate comparison problem. Experimental results show that, by using UpCompare Model, bank transaction settle system efficiency improved more than 5× in daily financial reconciliations file approximate comparison.
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尹祥龙,王伟,陈煜,周继恩,任明,徐景良,万鑫明.面向大规模金融对账文件的近似比对模型及系统.计算机系统应用,2016,25(4):86-90
YIN Xiang-Long,WANG Wei,CHEN Yu,ZHOU Ji-En,REN Ming,XU Jing-Liang,WAN Xin-Ming.Massive Financial Reconciliation File Approximate Comparison Model and System.COMPUTER SYSTEMS APPLICATIONS,2016,25(4):86-90