信息中心网络中可扩展视频编码的缓存策略

Junhua Tang, S. Zhao, Yue Wu, Jianhua Li
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引用次数: 1

摘要

信息中心网络(Information-Centric Networking, ICN)被广泛认为是下一代Internet的网络架构。缓存策略是ICN的重要问题之一,近年来备受关注。本文主要研究了ICN中可扩展视频编码(SVC)的缓存策略。我们首先开发了用户行为、视频受欢迎程度、用户体验和缓存效率的数学模型。然后,我们提出了一种新的缓存策略PoProb,该策略根据视频的流行度来确定视频的缓存概率。利用基于ndnSIM仿真平台的AMuSt模拟器对PoProb进行仿真。仿真结果表明,与现有的缓存策略相比,PoProb可以在一定程度上提高用户体验和缓存效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Caching Strategy for Scalable Video Coding in Information-Centric Networking
Information-Centric Networking (ICN) is widely accepted as the network architecture for the next generation Internet. Caching strategy is one of the most important issues of ICN and has received much attention in recent years. In this paper we focus on caching strategy for Scalable Video Coding (SVC) in ICN. We first develop the mathematical models of user behavior, video popularity, user experience and caching efficiency. Then we propose a new caching strategy named PoProb, which determines the caching probability of a video according to its popularity. Simulation of PoProb is conducted using AMuSt simulator based on the ndnSIM simulation platform. Simulation results show that compared with existing caching strategies, PoProb can improve user experience and cache efficiency to a certain extent.
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