Content Caching Methods in Named Data Networks

TL;DR

This survey reviews various caching algorithms in Named Data Networking, highlighting their principles, advantages, disadvantages, and performance metrics to improve content delivery.

Contribution

It provides a structured taxonomy and detailed discussion of caching techniques in NDN, emphasizing their design, evaluation, and future research directions.

Findings

Caches improve content delivery performance in NDN.

Different caching algorithms have varying advantages and disadvantages.

Performance metrics are crucial for evaluating caching methods.

Abstract

Information Centric Networking (ICN) is a new network architecture (Internet) that focuses on content rather than the end-hosts. Named Data Networking (NDN) is a specific implementation of ICN, which relies on the use of named data and a request-response model for content distribution. These Internet architectures are known for their ability to cache content at the network level. Many caching techniques have been designed as part of various ICN/NDN projects. Caching techniques help improve the content delivery performance by storing content in the router to meet future demand. In this survey, we provide a structured review of caching algorithms designed for ICN, with a particular emphasis on NDN. We first present a taxonomy of caching techniques, followed by a detailed discussion of the various methods. Alongside their working principles, we also summarize their advantages and disadvantages. Finally, we discuss the performance metrics commonly used in the literature to evaluate caching methods and outline directions for future research in this area.