Title :
Research optical network traffic based on the content identification
Author :
Yang, Song ; Zhang, Xiaoguang ; Xi, Lixia ; Lu, Congpeng
Author_Institution :
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
This paper first proposes using the application layer content identification technology, around Deep Packet Inspection technology, on the basis of content identification and priority classification, combining communication network traffic analysis method, realize the efficient allocation of resources fine grit such as the optical network wavelength, enable better matching optical network resource and high-level application business demand. Combining queuing theory, this paper analyzes and establishes the new optical network business model.
Keywords :
optical communication; queueing theory; telecommunication traffic; application layer content identification technology; communication network traffic analysis method; deep packet inspection technology; high-level application business demand; optical network resource; optical network traffic; optical network wavelength; priority classification; queuing theory; Analytical models; Business; Correlation; Image motion analysis; Optical fiber networks; Protocols; Servers; Deep Packet Inspection; Poisson traffic; content identification; optical network; queuing theory; self-similar traffic;
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-158-8
DOI :
10.1109/ICBNMT.2011.6155889