DocumentCode
2712343
Title
A Neural Network Approach to Dynamic Frequency Scaling
Author
Lahiri, Anirban ; Bussa, Nagaraju ; Saraswat, Pawan
fYear
2007
fDate
18-21 Dec. 2007
Firstpage
738
Lastpage
743
Abstract
An intelligent dynamic frequency scaling strategy has been proposed in this paper. The technique uses a neural network model to predict the future computational load of the system and uses this information for taking decisions related to frequency scaling. The mentioned policy is highly effective for applications with complex behavior and drastically varying computational load.
Keywords
embedded systems; mobile computing; neural nets; intelligent dynamic frequency scaling strategy; mobile embedded systems; neural network approach; portable embedded systems; Clocks; Computer networks; Dynamic voltage scaling; Embedded system; Frequency; History; MPEG 4 Standard; Neural networks; Predictive models; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location
Guwahati, Assam
Print_ISBN
0-7695-3059-1
Type
conf
DOI
10.1109/ADCOM.2007.123
Filename
4426055
Link To Document