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Towards Energy-Efficient Caching in Content-Centric Networking

Hao Wu1, Bin Liu1, Yang Li1, Huichen Dai1, Yi Wang2, and Yaxuan Wang3
1. Department of Computer Science and Technology, Tsinghua University, Beijing, China
2. Huawei Future Network Theory Lab, Hong Kong, China
3. Beijing University of Posts and Telecommunications, Beijing, China
Abstract—Content-Centric Networking (CCN) is regarded as a promising architecture for the future Internet because of its built-in caching capability, which will potentially reduce the energy consumption. In this work, we focus on the cache allocation and replacement strategy in CCN, aiming at improving the energy efficiency and resource utilization within the scope of an ISP. We first explain the Interests aggregation in Pending Interest Table (PIT) is very weak and the in-network energy consumption largely relies on the average bit-level Data download hop count. Then we present a heuristic scheme called Distributed Energy-Efficient (DEE) caching that dynamically replicates Data among the delivery path based on: a) the popularity-hop product; b) the impacts of bias requesting, information inconsistency and Interest timeliness. Finally, we evaluate the performance of DEE. The proposed scheme exhibits constantly superior performance not only in energy efficiency, but also in cache hits and content download delay, which enhances user experience and cache network stability.

Index Terms—Next generation network, Content-Centric Networking, distributed cache allocation scheme

Cite: Hao Wu, Bin Liu, Yang Li, Huichen Dai, Yi Wang, and Yaxuan Wang, "Towards Energy-Efficient Caching in Content-Centric Networking," Journal of Communications, vol. 11, no. 12, pp. 1036-1047, 2016. Doi: 10.12720/jcm.11.12.1036-1047
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