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Received:April 09, 2014 Revised:May 26, 2014
Received:April 09, 2014 Revised:May 26, 2014
中文摘要: 不同系统之间的数据交换一般通过数据交换平台来实现, 但面对不同部门之间海量数据交换时, 由于系统的不一致, 效率成为瓶颈.针对如何处理跨域海量数据交换和高并发请求, 笔者对构建高效率的数据交换平台进行了研究, 提出了通过三层数据处理引擎来统一调度用户请求, 解决了系统内外部数据流转的问题.然后研究了内存块复制技术和调度算法, 结果表明此技术能大幅提高海量数据的处理速度, 并能动态响应高并发的数据请求.
Abstract:The data platform is generally used to interchange information between different systems, but the efficiency is the bottleneck due to big data. To deal with the big data interchange and parallel requests, we design a 3-layer data engine for managing the user requests. Therefore, a state-of-art technology of memory replication and algorithm is developed to promote the data processing speed as well as quick response to parallel requests.
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孔晓昀,王晓聪,陈正奎.海量跨域数据交换平台.计算机系统应用,2015,24(1):49-55
KONG Xiao-Yun,WANG Xiao-Cong,CHEN Zheng-Kui.Data Platform of Big Cross-domain Data Interchange.COMPUTER SYSTEMS APPLICATIONS,2015,24(1):49-55
孔晓昀,王晓聪,陈正奎.海量跨域数据交换平台.计算机系统应用,2015,24(1):49-55
KONG Xiao-Yun,WANG Xiao-Cong,CHEN Zheng-Kui.Data Platform of Big Cross-domain Data Interchange.COMPUTER SYSTEMS APPLICATIONS,2015,24(1):49-55