DocumentCode :
3491768
Title :
Application of neural networks in predictive prefetching
Author :
Varadan, S.V. ; Vaishnav, K.R.
Author_Institution :
Shanmugha Arts Sci. Technol. & Res. Acad., Tanjore, India
fYear :
2005
fDate :
19-22 March 2005
Firstpage :
252
Lastpage :
255
Abstract :
An important issue that affects response time performance in current systems is the I/O involved in moving objects from slow secondary storage device to main memory. A promising way to tackle this problem is to use prefetching, in which we predict the user´s next page requests and get those pages into memory in the background. Current systems perform limited prefetching by locality of reference. A novel idea of using neural networks for predictive prefetching is discussed here.
Keywords :
cache storage; neural nets; computer memory; demand paging; neural networks; page replacement; predictive prefetching; secondary storage device; Accuracy; Application software; Art; Computer networks; Delay; Intelligent networks; Neural networks; Pattern matching; Prefetching; Programming profession;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
Type :
conf
DOI :
10.1109/ICNSC.2005.1461196
Filename :
1461196
Link To Document :
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