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海量数据高并发访问系统的风险规避研究 被引量:1

The Study of Risk Aversion of High Concurrent Access System of Mass Data
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摘要 为了解决海量数据高并发系统在访问过程中存在的问题,本文在现有通用解决方案的基础上,提出了一套从系统架构到软件设计的全面优化方案.该方案选取铁路电子票务系统为分析对象,针对系统访问高峰时期出现的各种问题,分析其产生原因,提出相应的解决方案,从而为其他各种海量数据高并发访问应用提供一种具有良好参考价值的示范. In order to solve the problems exist in high concurrent access system of massive data, this essay puts forward a comprehensive set of design to optimize from system architecture to software on the basis of the existing general solutions. It selects railway e- ticketing system as the target object, analyses the causes of various issues during the peak period of the system access, proposes appropriate solutions and makes a demonstration with good reference value for other visitors of high concurrency of mass data.
出处 《湘南学院学报》 2012年第5期50-54,共5页 Journal of Xiangnan University
关键词 海量数据 高并发 分布式事务 票务系统 mass data high concurrency distributed transaction ticketing system
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