内容中心网络中能效感知的概率性缓存机制

罗熹; 安莹; 王建新; 刘耀

doi:10.11999/JEIT151244

内容中心网络中能效感知的概率性缓存机制

doi: 10.11999/JEIT151244

2.
(中南大学信息科学与工程学院长沙 410083) ②(中南大学信息安全与大数据研究院长沙 410083) ③(湖南警察学院信息技术系长沙 410138) ④(湖南商学院计算机与信息工程学院长沙 410205)

基金项目:

国家自然科学基金(61402541, 61103204)，湖南省教育厅科学研究项目(15B127)

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- 文章访问数: 1494
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出版历程
- 收稿日期: 2015-11-05
- 修回日期: 2016-04-13
- 刊出日期: 2016-08-19

Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks

2.
(School of Information Science and Engineering, Central South University, Changsha 410083, China)

Funds:

The National Natural Science Foundation of China (61402541, 61103204), The Scientific Research Fund of Hunan Provincial Education Department (15B127)

摘要

摘要: 内置缓存技术是内容中心网络(Content Centric Networking, CCN)的核心技术之一。现有的研究大多主要针对网络资源利用率的优化，而忽略了网络能耗的问题。该文首先建立了一个能耗模型对CCN的网络能耗进行分析，并设计了一个能效判决条件来优化缓存过程的能效性。进而，在此基础上综合考虑内容流行度和节点中心性等因素提出一种能效感知的概率性缓存机制(E2APC)。仿真结果表明，该机制能在保证较高的缓存命中率和较小的平均响应跳数的同时有效地降低网络的整体能耗。
- 内容中心网络 /
- 能效性 /
- 内置缓存 /
- 概率性缓存
Abstract: In-network caching is one of the key technologies of Content-Centric Networking (CCN), which is widely concerned recently. However, most existing works are targeted for optimizing network resource utilization, and the energy consumption aspect is largely ignored. In this paper, first an energy consumption model for content distribution is built and a judging condition for energy efficiency optimization in caching is designed. On this basis and in combination with content popularity and node centrality, an Energy-Efficiency Aware Probabilistic Caching (E2APC) scheme is proposed. Simulation results show that the proposed scheme can effectively reduce the whole energy consumption, while guaranteeing comparatively high cache hit rate and few average response hops.
- Content-Centric Networking (CCN) /
- Energy efficiency /
- In-network caching /
- Probabilistic caching

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参考文献(20)

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