Classifications and Analysis of Caching Strategies in Information‐Centric Networking for Modern Communication Systems

ABSTRACT Information Centric Networking (ICN), a paradigm shift in network design that prioritizes content distribution over host‐centric methods, arises in this dynamic environment. Integrating built‐in network caches into ICN is essential for optimizing content distribution effectiveness, which raises hit rates, boosts throughput, and lowers transmission delays. This paper provides a comprehensive exploration and classification of ICN caching strategies across diverse domains, including the Internet of Things (IoT), Internet of Vehicles (IoV), Mobility ICN, Edge Computing, and Fog Computing. It further offers a detailed analysis of these strategies based on their proposed methods, identifying key trends, strengths, and limitations. Through a balanced performance assessment, the study evaluates these strategies using critical metrics such as cache hit ratio, efficiency, retrieval latency, security, and throughput. Furthermore, the paper highlights open challenges and presents future research directions to advance caching mechanisms, fostering the continued evolution of ICN for scalable and efficient content delivery for users.

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Publication Details

Journal
Engineering Reports
Published
2025-02-01
DOI
https://doi.org/10.1002/eng2.70005
Citations
7
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
10.41

Funders

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article

Classifications and Analysis of Caching Strategies in Information‐Centric Networking for Modern Communication Systems

Rashid Amin, Jaroslav Frnda, Rahma Gantassi, Muhammad D. Zakaria et al.
7 citations
Engineering Reports
Caching and Content Delivery
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article

Classifications and Analysis of Caching Strategies in Information‐Centric Networking for Modern Communication Systems

Rashid Amin, Jaroslav Frnda, Rahma Gantassi, Muhammad D. Zakaria, Firdous Qaiser, Mudassar Hussain, Khoula Said Al Harthy
article en
7 citations

Abstract

ABSTRACT Information Centric Networking (ICN), a paradigm shift in network design that prioritizes content distribution over host‐centric methods, arises in this dynamic environment. Integrating built‐in network caches into ICN is essential for optimizing content distribution effectiveness, which raises hit rates, boosts throughput, and lowers transmission delays. This paper provides a comprehensive exploration and classification of ICN caching strategies across diverse domains, including the Internet of Things (IoT), Internet of Vehicles (IoV), Mobility ICN, Edge Computing, and Fog Computing. It further offers a detailed analysis of these strategies based on their proposed methods, identifying key trends, strengths, and limitations. Through a balanced performance assessment, the study evaluates these strategies using critical metrics such as cache hit ratio, efficiency, retrieval latency, security, and throughput. Furthermore, the paper highlights open challenges and presents future research directions to advance caching mechanisms, fostering the continued evolution of ICN for scalable and efficient content delivery for users.

Engineering ReportsVol. 7(2)
Chonnam National University (KR), VSB - Technical University of Ostrava (CZ), University of Žilina (SK), Muscat College (OM), Sultan Zainal Abidin University (MY)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 2%
Caching and Content Delivery
10.41
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