| A novel approach to describe the relation, in terms of probability, between the gain obtained by multiplexing the traffic in the packet network and the link capacity for guaranteeing the requested quality is proposed. A traffic flow is defined as the on-off stream described with the probability distribution of the on-off lengths. With the sta-tistical on-off flow description, the loads on a link after aggregating traffic flows can be predicted in terms of probability and the link capacity design based on the probability of supporting the requested quality becomes possible. To have statistical model of a flow with small number of data, an interpolation method is proposed. To find a congestion point with given link capacity and traffic flows, a calculation method to estimate the expected link reservation with traffic flows and congestion probability is suggested. |
| Seong-Soon Joo received his B.S. from Hanyang University in 1980, and received M.S. and Ph.D. degree from the Seoul National University in 1982 and 1989 respectively, all in electrical engineering. He joined ETRI (Electronics and Telecommunications Research Institute) in 1983, where he is currently the principal investigator of research on “Universal Media Transport Technology”, new transport technology for the post-internet era. From 1996 to 1997, he was a visiting research faculty at Computer Science and Engineering Dept. of Arizona State University, USA. Since September, 2004, he is an adjunct professor at the Dept. of Broadband Network Engineering, University of Science and Technology, Taejon, Korea.
He has worked in a range of fields, including development of the packet switching and frame relaying for the ISDN switching system, call control software for ATM networks, architecture design of high-speed IP router, and development of all-optical cross-connect system focused on lightpath provisioning, protection, and restoration. His research interests include soft computing, active network, intelligent control for communication networks, and network architecture for the post-Internet era.
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