Title :
On linear prediction of Internet traffic for packet and burst switching networks
Author :
Morató, D. ; Aracil, J. ; Díez, L.A. ; Izal, M. ; Magana, E.
Author_Institution :
Dept. Automatics & Comput. Sci., Public Univ. of Navarra, Pamplona, Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
We show that prediction algorithms in the least mean square error sense prove better in a burst rather than in a packet switching network. For the latter, further information about the packet arrival distribution within the prediction interval is required. Regarding burst switching, we compare optical burst switching networks with and without linear prediction to conclude that linear prediction provides a significant improvement in end-to-end latency with low bandwidth waste
Keywords :
Internet; least mean squares methods; optical fibre networks; packet switching; prediction theory; switching networks; telecommunication traffic; Internet traffic; end-to-end latency; least mean square error; linear prediction; low bandwidth waste; optical burst switching networks; packet arrival distribution; packet switching networks; Bandwidth; Burst switching; Character generation; IP networks; Internet; Mean square error methods; Optical burst switching; Performance analysis; Prediction methods; Telecommunication traffic;
Conference_Titel :
Computer Communications and Networks, 2001. Proceedings. Tenth International Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-7803-7128-3
DOI :
10.1109/ICCCN.2001.956231
