CAJ | 학술논문

为了提高软件的执行效能及提高WMB（Websphere Message Broker）上大数据消息数据处理的速度，首先定义了单笔柜面交易、硬件标尺、程序执行效率等概念．建立了企业服务总线上的软件执行高效算法（称为WMB^＊），算法主要解决了在WMB上提高各应用级系统对大数据消息数据及通讯协议的处理和转换速度，以达到提高软件的执行效率．在银行数据集上对不改变大数据消息数据结构和改变大数据消息数据结构的情况做了大量的实验，结果表明，在WMB上，用ESQL语言比JAVA语言在处理消息数据的速度快0．1个数量级，而在CPU占用率（ms／msg）上，用ESQL语言比JAVA语言低得多．WMB^＊算法适合在大数据上对银行交易数据进行挖掘．
위료제고연건적집행효능급제고WMB（Websphere Message Broker）상대수거소식수거처리적속도，수선정의료단필거면교역、경건표척、정서집행효솔등개념．건립료기업복무총선상적연건집행고효산법（칭위WMB^＊），산법주요해결료재WMB상제고각응용급계통대대수거소식수거급통신협의적처리화전환속도，이체도제고연건적집행효솔．재은행수거집상대불개변대수거소식수거결구화개변대수거소식수거결구적정황주료대량적실험，결과표명，재WMB상，용ESQL어언비JAVA어언재처리소식수거적속도쾌0．1개수량급，이재CPU점용솔（ms／msg）상，용ESQL어언비JAVA어언저득다．WMB^＊산법괄합재대수거상대은행교역수거진행알굴．
In this study, an algorithm on ESB (Enterprise Service Bus) called WMB^ * is proposed to improve the execution efficiency of software and the speed of message processing in large data on WMB (Websphere Message Broker). The new concepts including single counter transaction, hardware scale and efficiency of program execution are defined. And the new algorithm successfully enhances the processing capacity and the transfer speed of large data on WMB so as to improve the execu- tion efficiency of software. Extensive experiments are conducted in the two cases of changing or not changing the data structure of messages in large data on bank data sets. The experimental results show that the speed of message processing using ESQL is faster than that using JAVA with an improvement of 0.1 order of magnitude. The algorithm using ESQL can achieve lower usage of CPU than that using JAVA. The WMB^* algorithm is verified to be suitable for mining massive data in bank transaction.