內(nèi)容中心網(wǎng)絡(luò)中能效感知的概率性緩存機(jī)制
doi: 10.11999/JEIT151244
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2.
(中南大學(xué)信息科學(xué)與工程學(xué)院 長沙 410083) ②(中南大學(xué)信息安全與大數(shù)據(jù)研究院 長沙 410083) ③(湖南警察學(xué)院信息技術(shù)系 長沙 410138) ④(湖南商學(xué)院計(jì)算機(jī)與信息工程學(xué)院 長沙 410205)
基金項(xiàng)目:
國家自然科學(xué)基金(61402541, 61103204)，湖南省教育廳科學(xué)研究項(xiàng)目(15B127)
Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks
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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)
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摘要: 內(nèi)置緩存技術(shù)是內(nèi)容中心網(wǎng)絡(luò)(Content Centric Networking, CCN)的核心技術(shù)之一?，F(xiàn)有的研究大多主要針對(duì)網(wǎng)絡(luò)資源利用率的優(yōu)化，而忽略了網(wǎng)絡(luò)能耗的問題。該文首先建立了一個(gè)能耗模型對(duì)CCN的網(wǎng)絡(luò)能耗進(jìn)行分析，并設(shè)計(jì)了一個(gè)能效判決條件來優(yōu)化緩存過程的能效性。進(jìn)而，在此基礎(chǔ)上綜合考慮內(nèi)容流行度和節(jié)點(diǎn)中心性等因素提出一種能效感知的概率性緩存機(jī)制(E2APC)。仿真結(jié)果表明，該機(jī)制能在保證較高的緩存命中率和較小的平均響應(yīng)跳數(shù)的同時(shí)有效地降低網(wǎng)絡(luò)的整體能耗。
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關(guān)鍵詞:
- 內(nèi)容中心網(wǎng)絡(luò) /
- 能效性 /
- 內(nèi)置緩存 /
- 概率性緩存
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. -
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