云网融合的高校数据服务平台设计与实现

Design and Implementation of University Data Service Platform Based on Cloud Network Integration

当前高校数据服务平台设计功能模块多为单向形式,服务效率较低,随着云计算技术在高校数据中心的广泛应用,传统的数据中心网络架构已经无法满足新业务对网络承载的要求。结合高校数据管理特点进行服务平台硬软件的架构,采用多层级数据服务功能模块,探究云网融合网络架构下的高校数据服务平台设计与实现,以期提升数据服务效率。平台测试结果表明:在不同的用户数量下,传统数据服务平台的平均访问次数在10次/秒左右,而所构建云网融合的高校数据服务平台的平均访问次数均可以达到15次/秒以上,证明更加高效、稳定,提高了数据访问的效率和稳定性。

At present,the design function modules of university data service platform are mostly one-way form,and the service efficiency is low.With the wide application of cloud computing technology in university data centers,the traditional data center nctwork architecture can no lon-ger meet the requirements of new services on network bearing,The hardware and software ar-chitecture of the service platform is combined with the characteristics of university data manage-ment,and multi-level data service function modules are adopted to explore the design and imple-mentation of university data scrvicc platform under the cloud nctwork fusion network architec-ture,in order to improve the efficiency of data service.Platform test results show that:under different user numbers,the average access times of the traditional data service platform is about 10 times/second,while the average access times of the university data service platform built by cloud nctwork integration can rcach morc than 15 times/scond,which proves that it is more ef-ficicnt and stable,and improves the efficiency and stability of data access.