基于私有云的高校数字化体育资源共享建模分析

On Modeling of Digital Sports Resource Sharing in Universities Based on Private Cloud

传统资源共享建模方法传输较大资源数据块存在速率较低的问题,因此以解决该问题作为研究目标,提出了一种新的基于私有云的高校数字化体育资源共享建模方法。根据私有云计算技术,检索共享资源目录,完成高校数字化体育资源的聚类和存储操作,从物理存储和逻辑存储两方面对其进行虚拟化处理,判断其共享路径,以此搭建高校数字化体育资源共享模型,实现资源共享。实验结果表明,所设计的建模方法吞吐量大于两种传统方法,且资源数据块较大时,仍然具有较高的数据传输速率,实际应用效果更好。

When transmitting large resource data blocks,the traditional resource sharing modeling will face a problem of low speed.To address this issue,this article proposes a new approach,which is to model the sharing of digital sports resources in universities based on private clouds.According to private cloud computing technology,this model will retrieve shared resource directories,complete the clustering and storage operations of digital sports resources in universities,virtualize it from both physical and logical storage aspects,determine its sharing path,and build a digital sports resource sharing model for universities.The results show that the throughput of the modeling method is greater than that of the two traditional methods.When the resource data block is large,this model still has a higher data transmission rate and better practical application effect.