DocumentCode
1836376
Title
Adaptive resource provisioning using traffic forecasting for energy efficient networks
Author
Lee, Chankyun ; Kim, Junhyuk ; Kim, Yoontae ; Rhee, June Koo Kevin
Author_Institution
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
fYear
2010
fDate
17-19 Nov. 2010
Firstpage
463
Lastpage
464
Abstract
A traffic forecast model for a multilane sleep/wake link is investigated where energy consumption can be significantly reduced. A Box-Jenkins ARIMA forecast model is investigated and applied for traffic forecast. The relations among forecasting confidential interval, energy saving performance, buffer size requirement for lossless network are investigated.
Keywords
autoregressive moving average processes; forecasting theory; telecommunication networks; telecommunication traffic; Box-Jenkins ARIMA forecast model; adaptive resource provisioning; energy efficient networks; multilane sleep-wake link; traffic forecasting; Biological system modeling; Energy consumption; Energy efficiency; Forecasting; Performance evaluation; Predictive models; Time series analysis; Sleep/awake algorithm; green networks; proportional device; resource provisioning; traffic forecast;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology Convergence (ICTC), 2010 International Conference on
Conference_Location
Jeju
Print_ISBN
978-1-4244-9806-2
Type
conf
DOI
10.1109/ICTC.2010.5674793
Filename
5674793
Link To Document