A review of modern caching strategies in named data network: overview, classification, and research directions

Nowadays, Named data networking (NDN) is an extended form of Content-Centric Networking, which is a significant one of the Information Centric Networking paradigm. It is critical for accessing the majority of internet-based applications, as access to content is determined via its content name rather than its physical host location. Furthermore, the current Internet design is unsuitable for the enormous volume of Internet traffic. As a result, the paradigm shifts from a location-based to a content-based one. The most important area to be explored in NDN architecture is the distribution of data in-network (data caching), which is very helpful for the subscribers to get the required content from the nearest caching node, however, this is costly due to high bandwidth and popularity. In order to achieve higher cache performance, the cache needs to be managed using a more efficient technique. There are numerous content placement and replacement strategies to manage an NDN-based cache, this work focuses on reviewing cache placement and replacement strategies that address the problem of managing in NDN architecture. In this paper, an overview has been provided with modern caching strategies and related issues such as caching characteristics, caching challenges, caching simulated environment, and caching evaluation metrics. The main focus is also to present useful research papers for a community of researchers interested in the field of NDN so that they can get an overview of what studies and topics have been and are being designed and developed in this particular caching area.

Automated summary

Nowadays, Named data networking (NDN) is a critical form of Content-Centric Networking that enables access to internet-based applications based on content name instead of physical host location. The paradigm shift from location-based to content-based has resulted in the need for efficient cache placement and replacement strategies to manage the distribution of data in-network. This paper provides an overview of caching strategies, challenges, and evaluation metrics, aiming to assist researchers in the field of NDN.