超融合架构的大数据虚拟仿真实验平台建设研究  

Research on the Construction of Big Data Virtual Simulation Experimental Platform with Hyper-converged Infrastructure

作　　者：罗剑 LUO Jian(School of Computer Science,Wuhan Qingchuan University,Wuhan 430072,China)

机构地区：[1]武汉晴川学院计算机学院,湖北武汉430204

出　　处：《软件导刊》2020年第8期151-155,共5页Software Guide

基　　金：全国高等教育计算机基础教育研究会计算机基础教育教学研究项目(2019-AFCEC-319)。

摘　　要：为了更好地开展大数据实验教学与研究,提高大数据实验课程质量,克服传统大数据实验建设弊端,基于KVM技术与超融合架构设计一种新的大数据虚拟仿真实验平台建设方案。该方案将计算和存储融合在X86单一物理节点中,分布式存储成本低,提高了IO性能,具有开放兼容、易于扩展,方便维护、高可用等特点。该大数据虚拟仿真实验平台能够简化大数据实验平台环境搭建,提高教学实验效率。基于该平台可以定制各种实验环境,通过弹性分配计算资源,保障实验教学环境稳定运行。In order to better carry out the teaching and scientific research of big data experiment,improve the quality of big data exper⁃iment course,improve the disadvantages of the traditional big data experiment construction,based on KVM technology and Hy⁃per-converged infrastructure,a new big data virtual simulation experimental platform construction scheme is designed and it integrates computing and storage into the X86 single physical node,distributed storage costs are low.The scheme improves IO performance,has open compatibility,and it is easy to expand,maintaine and of high availability and so on.By using this big data virtual simulation ex⁃perimental platform,it can simplify the construction of big data experiment platform environment and improve the efficiency of teach⁃ing experiment,and under this platform,various experimental environments can be customized,and the scientific resources can be al⁃located flexibly to ensure the stable operation of the teaching environment.

关 键 词：大数据实验 KVM技术 超融合架构 实验平台 虚拟化技术 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]