Content Caching Methods in Named Data Networks
It offers a comprehensive overview for researchers and practitioners in ICN/NDN, but is incremental as it surveys existing methods without introducing new techniques or results.
This survey provides a structured review of caching algorithms for Named Data Networking (NDN), presenting a taxonomy, discussing working principles, advantages, and disadvantages, and outlining future research directions.
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.