Impact of Data Freshness-aware in Cache Replacement Policy for NDN-based IoT Network

Abstract

The world has entered the development of the digital era, where all information can be obtained easily through internet services. The number of requests that are frequently requested makes internet network traffic only able to accommodate some user requests. A named data network (NDN) is here as a solution to overcome this problem. NDN changed the focus of the internet architecture, which was initially host-centric, to become content-centric. Caching on NDN router nodes can be used as a repository for passing content. Because IoT data always requires fresh data and real-time, one of the features in NDN called freshness can help maintain data freshness in the NDN router cache. This paper explores implementing the freshness method for content replacement decisions in the two cache replacement policies. Cache replacement policies are Least Recently Used (LRU) and First-in, first-out (FIFO). To validate the effectiveness of adding freshness-aware in the caching model, we run the emulation using an NDN emulator, Mini-NDN. The results show that freshness can maintain the freshness of data in IoT data and the performance of NDN caching with LRU policy increases based on parameters of the cache hit ratio and RTT compared to the FIFO policy.