Abstract
The Information-Centric Network (ICN), designed for efficient content acquisition and distribution, is a promising candidate architecture for the future Internet. In-network caching in ICN makes it possible to reuse contents and the Name Resolution System (NRS) makes cached contents better serve users. In this paper, we focused on the ICN caching scenario equipped with an NRS, which records the positions of contents cached in ICN. We propose a Popularity-based caching strategy with Number-of-Copies Control (PB-NCC) in this paper. PB-NCC is proposed to solve the problems of unreasonable content distribution and frequent cache replacement in traditional caching strategies in ICN. We examine PB-NCC with a large number of experiments in different topologies and workloads. The simulation results reveal that PB-NCC can improve the cache hit ratio by at least 8.85% and reduce the server load by at least 11.34% compared with other on-path caching strategies, meanwhile maintaining a low network latency.
Highlights
With the explosive growth of the scale of Internet users and the network traffic, the Internet has grown into a bloated giant
We address the design of the caching strategy in the Information-Centric Network (ICN) scenario equipped with an Name Resolution System (NRS)
Using the information provided by the NRS, we propose a Popularity-based Number-of-Copies Control (PB-Number of Copies Control (NCC)) caching strategy
Summary
With the explosive growth of the scale of Internet users and the network traffic, the Internet has grown into a bloated giant. According to the Cisco Annual Internet Report (2018–2023) [1], VR and HD video will take up most of the network traffic. In this context, the main goal of the Internet has gradually shifted from the point-to-point connection to the acquisition and distribution of contents. The main goal of the Internet has gradually shifted from the point-to-point connection to the acquisition and distribution of contents With in-network caching, the ICN caching routers (or caching nodes) cache contents and provide content services, resulting in a lower latency in acquiring content and a smaller link traffic load on servers
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