The Effect of Content Population and Frequency Interest for Named Data Networking with Modified-Optimal Replacement Algorithm

Abstract

Named Data Networking (NDN) intrinsically supports caching features in the network. This feature offers the potential to transmit content segments consisting of content requested from producers on the network. However, in NDN itself, there are a lot of caching techniques that are underutilized because of the complexity of the algorithm creation. There are several caching techniques based on a replacement algorithm, including Optimal algorithm, which focuses more on content that will not be used in the near future to store content in the content store. But Optimal algorithm currently has a weakness. It cannot combine the most recently accessed and most accessed content when used together, Optimal Modifications algorithm are made to combine the content that will be accessed and most accessed content in the decision to replace files so that Optimal modification algorithm can improve optimal performance. In this research, the optimal modification algorithm is proposed. Optimal algorithm performance and optimal modification algorithm are compared. The simulation results show that the optimal modification algorithm is feasible to improve optimal algorithm performance. When the number of number content interest frequency increased, the hit ratio increased by 0,26% and 0,45% in the network. In the case of Increasing the frequency of Interest packet, the packet drop parameters is not affected. Meanwhile, for the Hop Count and delay, the difference is not significant.