云计算平台下政务大数据信息资源共享模型构建  

Construction of Government Big Data Information Resource Sharing Model under Cloud Computing Platform

作　　者：李翔[1] LI Xiang(China National Software&Service Co.,Ltd.,Beijing 100081,China)

机构地区：[1]中国软件与技术服务股份有限公司,北京100081

出　　处：《微型电脑应用》2023年第6期137-140,共4页Microcomputer Applications

摘　　要：政务大数据共享模型链路干扰较大,存在安全信道构建失败的情况,为此提出云计算平台下政务大数据信息资源共享模型。将待共享资源上传到云计算平台中,以独立的资源共享任务为目标,计算各个任务的时间开销,为每个任务设置优先级,以最坏的任务分配情况下任务的最大响应时间作为共享模型的下限,审核共享资源的安全性以及用户的权限安全性,以云计算平台作为模型的框架,实现政务数据的共享。实验结果表明在链路干扰下和噪声干扰下,设计的共享模型能够保持高效的资源分配性能,资源共享需要的节点映射时间短,仅在20 ms以下,接收请求完整,该共享模型的抗干扰性能得到了提升。The link interference of government big data sharing model is large,and the construction of security channel fails.This paper proposes the construction of government big data information resource sharing model under cloud computing platform.The resource to be shared is uploaded to the cloud computing platform,the independent resource sharing task is taken as the goal,the time cost of each task is calculated.The priority for each task is determined,the maximum response time of the task under the worst task allocation situation is used as the lower limit of the sharing model,the security of shared resources and the security of users’permissions are audited.Cloud computing platform is used as the framework of the model to realize the sharing of government data.The experimental results show that under the link interference and noise interference,the designed sharing model can maintain efficient resource allocation performance,the node mapping time required for resource sharing is short,less than 20 ms,and the received request is complete,the anti-interference performance of the sharing model is improved.

关 键 词：云计算平台 政务数据 大数据 资源共享 任务分配 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]