Abstract：With the demand of real-time and dynamic scalability processing for multi-source mass data in transportation, this paper proposed a distributed in-memory database experimental platform based on GemFire. The platform used the attributes of GemFire, such as key-value data storage structure and distributed dynamic membership. The actual data from floating car system was used to complete the performance analysis in cloud computing architecture. The experimental results show that the platform can shorten the calculation time of mass data to less than 10% of the existing system and basically satisfy the application requirements of transport data resources integration in cloud computing platform.
徐翔 邹复民 廖律超 朱铨. 基于GemFire的海量数据计算性能实验分析[J]. 计算机应用, 2013, 33(01): 226-229.
XU Xiang ZOU Fumin LIAO Lyuchao ZHU Quan. Experimental analysis for calculation performance of mass data based on GemFire. Journal of Computer Applications, 2013, 33(01): 226-229.
2013, Vol. 33 
