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

Raaid Alubady (), Mays Salman and Ahmed S. Mohamed
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Raaid Alubady: University of Babylon
Mays Salman: Ministry of Education
Ahmed S. Mohamed: Budapest University of Technology and Economics

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 84, issue 4, No 10, 626 pages

Abstract: Abstract 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.

Keywords: Name data networking; Caching strategies; Caching placement; Caching replacement; Caching simulators (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01015-3

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