摘要
目前常规的信息化云测试系统主要通过对服务器进行分布式部署,从而完成相同不同量级的测试任务,由于忽略了服务器的负载均衡性能,导致系统的运行效果不佳。对此,提出基于端云协同的大数据信息化云测试系统。首先以嵌入式Linux内核作为终端芯片,对集成化终端结构进行设计,并与云端服务器进行结合,从而实现端云协同。然后采用Hub节点接收测试请求,并通过配置testrecv接口,对测试脚本进行获取与分析。通过染色体编码以及任务权重的分配,对测试任务的执行顺序进行确定。并考虑不同服务器的负载均衡条件,构建出适应度函数,对测试任务进行分配与调度。在实验中,对提出的系统进行了运行性能的检验。最终的测试结果表明,采用提出的系统执行测试任务时,虚拟机CPU使用率较低,具备较为理想的运行效果。
Currently,the conventional informationization cloud testing system is mainly through the distributed deployment of servers to complete the same different levels of testing tasks,due to the neglect of the server's load balancing tender,resulting in the poor operation of the system.In this regard,an informationized cloud testing system for big data based on end-cloud collaboration is proposed.Firstly,the embedded Linux kernel is used as the terminal chip,the integrated terminal structure is designed,and it is combined with the cloud server to realize the end-cloud collaboration.Then the Hub node is used to receive test requests,and test scripts are acquired and analyzed by configuring the testrecv interface.The execution order of test tasks is determined by chromosome coding and assignment of task weights.And considering the load balancing condition that does not pass the server,the fitness function is constructed to allocate and schedule the test tasks.In the experiments,the operational performance of the proposed system is examined.The final test results show that when the proposed system is used to execute the test tasks,the VM CPU utilization rate is low,and it has a more ideal operation effect.
作者
钟业荣
阮国恒
ZHONG Yerong;RUAN Guoheng(Qingyuan Power Supply Bureau,Qingyuan,Guangdong 511515,China)
出处
《自动化与仪器仪表》
2025年第9期299-302,307,共5页
Automation & Instrumentation
基金
2019年信息专业工器具采购及建设(031800HJ42190032)。
关键词
端云协同
大数据
信息化
云测试系统
end-cloud collaboration
big data
informatization
cloud testing system
