User-based LAST N Successors file prediction model
Gang Chen · Computer Engineering and Applications Journal · 2007
Most systems treat each data request as an independent event.In fact,such requests are driven by users or programs behavior,and are therefore far from random.There are different access patterns with different users or programs.LS(Last Successor)model is simple,but very available.However,its predictive results strongly depend on access order of users or programs.This paper presents ULNS(User-based Last N Successors) file prediction model,which utilizes user information to improve its accuracy.And also,it synthesizes LS model to extend its applicability.Experimental results show that the proposed prediction model has better overall performances.