Open AccessResearch on breakpoint area detection of computer communication network transmission data based on cloud framework
Author(s) -
Shichuang Zheng,
Jiajun Li,
Shuai Chen,
Yujia Liang,
Jiangtao Lin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/4/042045
Subject(s) - breakpoint , computer science , cloud computing , path (computing) , transmission (telecommunications) , similarity (geometry) , data transmission , data mining , algorithm , artificial intelligence , image (mathematics) , telecommunications , computer network , operating system , chromosome , biochemistry , chemistry , gene
Traditional detection method of data breakpoint in computer communication network has some disadvantages, such as time consuming, etc. Firstly, the data of computer transmission breakpoints are stored based on cloud framework, and the density distribution characteristics of the region are extracted according to the breakpoint data. Then the optimal data breakpoint detection path is selected. Finally, the similarity of each data breakpoint is detected by the computer, so that the detection of data breakpoints is realized by computer. After experiments, the data breakpoint detection is realized, the results show that the designed method can detect data breakpoints accurately, which is time-saving and has a certain significance of popularization.