摘要
根据智能云测试平台的特点,为加强测试资源集中管理,结合实际中ATF拓扑映射,提出了智能云测试平台自动拓扑映射实现的方法。该方法在ATF框架的基础上,不断优化候选设备分组解空间的大小和每个候选设备分组的连接映射,详细分析了自动拓扑映射核心算法的逻辑结构。采用进位表、逻辑设备排序、设备组获取排序的方法,给出新的自动拓扑映射的方法。并应用到实际的智能云测试环境中,验证了拓扑映射算法扩展性及保密性较好,在发现效率、准确性、有效性上有了很大提高。
In order to strengthen the centralized management of testing resources and combined with the actual ATF topological mapping, there have been a number of methods for realizing automatic topological mapping of intelligent Cloud test platform which based on features of intelligent Cloud test platform. The method is based on ATF framework, which has been analyzed the logical structure of the core algorithm of automatic topology mapping in detail, so that we can optimize the size of the solution space of the candidate device and the connection mapping of each candidate device constantly. The carry table and the sorting of logical de- vice are used to abtain the sorting methods for device groups. And there is no doult contributing to get the new methods for auto- matic topology mapping. The extension and confidentiality of topology mapping algorithm are verified in the actual intelligent Cloud test environment. Not only that, the efficiency of discovery, accuracy and effectiveness has been greatly improved.
出处
《电子技术应用》
北大核心
2017年第3期116-119,共4页
Application of Electronic Technique
基金
陕西省科技攻关资助项目(2014K05-20)
关键词
智能云测试
ATF
拓扑映射
进位表
intelligent Cloud test
ATF
topological mapping
carry table
