CAJ | 학술논문

提出一种基于自相关匹配滤波和云间相似程度特征提取的云资源调度数据融合算法。设计了基于云资源调度的云计算海量数据处理平台，构建数据融合预处理模型，在云资源调度系统中，设计自相关匹配滤波器，得到融合特征分簇重构空间，对特征进行模式匹配，得到后置处理滤波器的系统函数，实现了对云资源调度自相关匹配数据融合算法的改进。仿真实验表明，该算法能高精度、高平稳地实现云资源调度数据的融合，对云滴数的要求极低，数据处理效果较好，云资源调度执行任务数、云资源调度总任务完成时间、用户满意度等指标优于传统方法，展示了较好的应用价值。
제출일충기우자상관필배려파화운간상사정도특정제취적운자원조도수거융합산법。설계료기우운자원조도적운계산해량수거처리평태，구건수거융합예처리모형，재운자원조도계통중，설계자상관필배려파기，득도융합특정분족중구공간，대특정진행모식필배，득도후치처리려파기적계통함수，실현료대운자원조도자상관필배수거융합산법적개진。방진실험표명，해산법능고정도、고평은지실현운자원조도수거적융합，대운적수적요구겁저，수거처리효과교호，운자원조도집행임무수、운자원조도총임무완성시간、용호만의도등지표우우전통방법，전시료교호적응용개치。
In based on self correlation matched filtering and cloud similarity feature extraction, an improved cloud resource scheduling data fusion algorithm is proposed. Design calculation of mass data processing platform cloud resource schedul?ing based on the cloud, constructing data fusion pretreatment model, in the cloud resource scheduling system, design of self correlation matching filter, get the cluster reconstruction space feature fusion, the characteristics of pattern matching, get the post processing filter system function. Simulation results show that, the algorithm can achieve high precision, it can smoothly fuse cloud resource scheduling data, cloud droplet number request is very low, the data processing effect is better, to lay the foundation for effectively improving the cloud resource scheduling performance. The user satisfaction index is su?perior to traditional methods, it has a good application value.