A Lightweight Caching Decision Scheme with a Caching-Resource-Utilization-Based Strategy for Information-Centric Networking

We focus on the lightweight caching strategy design for Information-Centric Networking. In our proposed caching decision scheme, the appropriate location for content placement is selected during the request packet forwarding process, and the location of the request hit is responsible for making caching decisions. Based on this scheme, we propose a Caching-Resource-Utilization-Based Strategy (CRUS), which selects the caching router with the lowest caching resource utilization for content placement. To avoid cache redundancy and frequent cache replacements, CRUS caches contents with a reasonable probability. The experiment results reveal that CRUS can improve the cache hit ratio and reduce the network latency, while consuming a short runtime with few memory resources.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/lcn60385.2024.10639669
Citations
3
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
1.05
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article

A Lightweight Caching Decision Scheme with a Caching-Resource-Utilization-Based Strategy for Information-Centric Networking

Jiaxian Lv, Yuanhang Li, Shuang Ouyang
3 citations
Caching and Content Delivery
1.05
article

A Lightweight Caching Decision Scheme with a Caching-Resource-Utilization-Based Strategy for Information-Centric Networking

Jiaxian Lv, Yuanhang Li, Shuang Ouyang
article en
3 citations

Abstract

We focus on the lightweight caching strategy design for Information-Centric Networking. In our proposed caching decision scheme, the appropriate location for content placement is selected during the request packet forwarding process, and the location of the request hit is responsible for making caching decisions. Based on this scheme, we propose a Caching-Resource-Utilization-Based Strategy (CRUS), which selects the caching router with the lowest caching resource utilization for content placement. To avoid cache redundancy and frequent cache replacements, CRUS caches contents with a reasonable probability. The experiment results reveal that CRUS can improve the cache hit ratio and reduce the network latency, while consuming a short runtime with few memory resources.

University of International Business and Economics (CN), Tsinghua University (CN)
Openalex Percentile: Top 22%
Caching and Content Delivery
1.05
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A Lightweight Caching Decision Scheme with a Caching-Resource-Utilization-Based Strategy for Information-Centric Networking — Jiaxian Lv, Yuanhang Li, et al. · (2024) | TGRS Research Map | TGRS