Title :
Traffic classification and observer design of cable networks
Author :
Gao, Haihong ; Best, Tish ; Pendse, Ravi ; Sawan, Mahmoud Edwin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
Abstract :
Our previous work suggests that the current congestion controls for cable networks are inadequate when network participants act strategically. A feedback control could result in greater utilization and fairness of cable networks. In order to design a controller for a network, an observer is needed to evaluate the current network state and traffic flows. This paper proposes an observer model and design for cable networks. The observer design is recast into an online traffic classification problem. Using dynamic network traffic phases observed through simulation, the network classifier is designed with a hidden Markov model to determine the network states.
Keywords :
hidden Markov models; observers; pattern classification; telecommunication cables; telecommunication traffic; cable network; congestion control; controller design; dynamic network traffic flow; feedback control; hidden Markov model; observer design; online traffic classification problem; Bandwidth; Control systems; Hidden Markov models; Observers; Resource management; Telecommunication traffic; Cable Network; Feedback Control; Hidden Markov Model; Observer Design; Traffic Classification;
Conference_Titel :
Communications Quality and Reliability (CQR), 2012 IEEE International Workshop Technical Committee on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1861-7
DOI :
10.1109/CQR.2012.6267105