Title :
A predictive and incremental grooming scheme for time-varying traffic in WDM networks
Author :
Zilong Ye ; Xiaojun Cao ; Xiujiao Gao ; Chunming Qiao
Author_Institution :
Dept. of Comput. Sci. & Eng., SUNY-Buffalo, Buffalo, NY, USA
Abstract :
Traffic grooming can effectively utilize the transmission capacity of WDM networks by properly multiplexing low-speed traffic flows onto high-capacity wavelength channels. In order to maximize the wavelength resource and cut down network costs associated with, e.g. OEO conversion for time-varying yet predictable traffic, we propose a novel predictive and incremental (PI) traffic grooming scheme, named PI-grooming. A conventional traffic grooming approach for fluctuated traffic is to run an algorithm that (re)assigns the traffic flows to as a few wavelengths as possible based only on the current traffic demands of these flows. This however will lead to a lot of OEO traffic. The proposed PI-grooming considers the existing flow assignment, the current traffic demands, and the expected traffic demands in the near future. We show that, compared with the conventional approach, PI-grooming can effectively minimize the amount of OEO traffic while still using a very small number of wavelengths.
Keywords :
optical fibre networks; telecommunication congestion control; telecommunication traffic; wavelength division multiplexing; OEO traffic; PI-grooming; WDM networks; fluctuated traffic; high-capacity wavelength channel; incremental traffic grooming; low-speed traffic flow; predictive traffic grooming; time varying traffic; wavelength division multiplexing; Accuracy; Bandwidth; Heuristic algorithms; Optical fiber networks; Prediction algorithms; WDM networks; Look-ahead; Predictive and incremental; Time-varying traffic; Traffic grooming; WDM networks;
Conference_Titel :
INFOCOM, 2013 Proceedings IEEE
Conference_Location :
Turin
Print_ISBN :
978-1-4673-5944-3
DOI :
10.1109/INFCOM.2013.6566802