基于退火算法的软件测试数据侧信道缓存仿真  

Simulation of Inter-Frame Motion Detection Method for Large Range Dynamic Image Sequences

作　　者：邹小花[1] 邓伦丹 ZOU Xiao-hua;DENG Lun-dan(Science and Technology College of NCHU,Jiangxi Jiujiang 332020,China)

机构地区：[1]南昌航空大学科技学院,江西九江332020

出　　处：《计算机仿真》2023年第3期385-389,共5页Computer Simulation

基　　金：国家基金:基于特征建模的陶瓷产品三维设计与可视化(61562063);江西省教育厅科学技术研究项目(GJJ191620)。

摘　　要：当前软件测试数据侧信道缓存方法忽略了对信道内数据特征的分析,导致信道缓存过程实时性低、完整性较差,影响软件的正常运行与应用效果。于是提出基于退火算法的软件测试数据侧信道缓存方法。构建数据结构分布模型,并利用上述模型分析侧信道数据特征。通过数据在侧信道内的传输状态求出数据调度任务量,再对任务量完成分区计算,构建数据调度优化模型。引入退火算法获取数据调度优化模型的最优解,实现信道缓存过程。对比实验结果表明,所提方法在应用中具有理想的实时性,信道缓存完整性较高,且信道缓存能力得到明显提升。The current software test data side channel caching method ignores the analysis of the data characteristics in the channel,resulting in low real-time and poor integrity of the channel caching process,affecting the normal operation and application effect of the software.Therefore,the channel caching method on the data side of software test based on annealing algorithm was studied.The data structure distribution model was established to analyze the side channel data characteristics.Through the transmission state of data in the side channel,the data scheduling task was obtained.Then,the workload was calculated by partition to construct the data scheduling optimization model.Based on the annealing algorithm,the optimal solution of the data scheduling optimization model was obtained to realize the channel caching process.The experimental results show that this method has excellent real-time performance,high channel cache integrity and improved channel cache capacity.

关 键 词：侧信道缓存 数据特征 退火算法 数据结构分布模型 数据调度优化模型 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]