摘要
为有效提升政务信息资源共享的抗干扰能力,构建一种基于大数据算法的信息资源共享模型。以资源共享为目标,基于云计算平台实现信息资源的调度,计算任务的开销时间,并设置任务的优先级与模型的下限,进而审核共享资源的安全性。以云计算平台作为模型的框架,实现政务数据的共享。结果表明,该模型可时刻保持较高性能的资源分配,且资源共享过程中节点映射时间不超过20 ms,具有较强的抗干扰性能。
In order to effectively improve the anti-interference ability of government information resource sharing,an information resource sharing model based on big data algorithm is constructed.With resource sharing as the goal,information resource scheduling is realized based on cloud computing platform,the cost time of tasks is calculated,and the priority of tasks and the lower limit of the model are set,so as to review the security of shared resources.The cloud computing platform is taken as the framework of the model.Realize the sharing of government data.Simulation results show that the model can always maintain high performance resource allocation,and the node mapping time is less than 20 ms in the process of resource sharing,and has strong anti-interference performance.
作者
李培畅
LI Peichang(Datong Normal College,Datong,Shanxi 037000,China)
出处
《自动化应用》
2024年第24期166-169,共4页
Automation Application
关键词
云计算平台
信息资源
共享任务
模型架构
cloud computing platform
information resources
share tasks
model framework
