Open AccessCommunication Network Discovery through Correlation Matrix
Author(s) -
Ti Guan,
Yujie Geng,
Qiang Ma,
Yong Liu,
Lin Lin
Publication year - 2019
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 - 10.1088/1742-6596/1345/2/022070
Subject(s) - computer science , network packet , telecommunications network , graph , connection (principal bundle) , theoretical computer science , task (project management) , network architecture , distributed computing , computer network , data mining , engineering , structural engineering , systems engineering
Communication network discovery is a herculean task for IDC operators, who usually been lacking of the knowledge of business architecture. The traditional method, by analyzing the source address and the destination address inside of the communication packet, to explore the network connection graph is extremely inefficient, especially when dealing with the hybrid network. This paper presented a novel approach to discover the communication network through the correlation matrix of the cpu utilization dataset.