Storage model analysis based on Network Attached Optical Jukebox

Network Attached Optical Jukebox is challenging domain which has excellent performance compare with previous work. The appearance of Network Attached Optical Jukebox makes it possible that the optical jukebox which has huge capacity is applied to massive information storage. It provides the reliable guarantee for permanent store data. In the previous works, a new cache model and replacement algorithm for Network Attached Optical Jukebox is presented and this kind of research is very limited. This paper will deeply research the ARMA model and PRFA algorithm using the classic replacement algorithm and the related knowledge of graph theory. The experimental result shows that new algorithm's performance is much better than other algorithm's. Furthermore the performance of the whole system is also improved by using cache model and replacement algorithm.