move-to-front implementation has faster access times for this scenario this benefit comes at costhowever implementing the move-to-front heuristic in java in code fragment we give an implementation of favorite list using the move-to-front heuristic we implement the move-to-front approach in this case by defining new classfavoritelistmtfwhich extends the favoritelist class and then overrides the definitions of the moveup and top methods the moveup method in this case simply removes the accessed element from its present position in the linked list and then inserts this element back in this list at the front the top methodon the other handis more complicated the trade-offs with the move-to-front heuristic now that we are no longer maintaining the favorite list as list of entries ordered by their value' access countswhen we are asked to find the most accessed elementswe need to search for them in particularwe can implement method top(kas follows we copy the entries of our favorite list into another listcand we create an empty listt we scan list times in each scanwe find an entry of with the largest access countremove this entry from cand insert its value at the end of we return list this implementation of method top takes (kntime thuswhen is constantmethod top runs in (ntime this occursfor examplewhen we want to get the "top tenlist howeverif is proportional to nthen top runs in ( time this occursfor examplewhen we want "top %list stillthe move-to-front approach is just heuristicor rule of thumbfor there are access sequences where using the move-to-front approach is slower than simply keeping the favorite list ordered by access counts in additionit trades off the potential speed of performing accesses that possess locality of referencefor slower reporting of the top elements possible uses of favorites list in code fragment we use an example application of our favorite list implementations to solve the problem of maintaining the most popular urls in simulated sequence of web page accesses this program accesses set of urls in