CAJ | 학술논문

传统数据计算与存储成本高，并行程序编写困难，针对该问题，在综述Hadoop核心技术的基础上，利用Hadoop分布式处理技术和虚拟化技术设计、搭建了云数据计算与存储集群平台，实验证明，此平台与传统单机计算方式以及物理机集群计算方式相比具有较高性能，同时资源利用率也得到了提高。
전통수거계산여존저성본고，병행정서편사곤난，침대해문제，재종술Hadoop핵심기술적기출상，이용Hadoop분포식처리기술화허의화기술설계、탑건료운수거계산여존저집군평태，실험증명，차평태여전통단궤계산방식이급물리궤집군계산방식상비구유교고성능，동시자원이용솔야득도료제고。
The cost of the traditional calculation and storage is very high,and the parallel programming is very difficult to be programmed.To solve the question,after telling about the core technologies of Hadoop, this paper used the distributed technology and virtual technology to build a computing and storage platform of cloud data.Finally,the experimental result shows that,the platform has the high performance,mean-while,the coefficient of physical resource utilization has been improved comparing to the traditional com-puting way of single computer and multi-node physical computers.