期刊
COMPUTER NETWORKS
卷 123, 期 -, 页码 88-103出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.comnet.2017.05.010
关键词
Information-centric networking; Software-defined networking; Community division; Routing mechanism; Clustering analysis
类别
资金
- National Natural Science Foundation of China [61572123]
- National Science Foundation for Distinguished Young Scholars of China [71325002]
- Grants-in-Aid for Scientific Research [26280027] Funding Source: KAKEN
Information-Centric Networking (ICN) is one promising architecture paradigm which is a profound shift from address-centric communication model to information-centric one. Although ICN routing has attracted much attention from researchers, there are few researches on improving it inspired by other fields. In this paper, we propose a Routing mechanism for ICN incorporating Software-Defined Networking (SDN) and Community division (RISC), by decoupling control plane from data plane and dividing ICN topology into different communities. Firstly, we propose a community division scheme based on maximal tree in order to help retrieve the content conveniently and effectively. Secondly, we place all information about contents and forwarding into the corresponding information center for the centralized management. Thirdly, we design a routing mechanism which consists of intra-community routing based on same community information and inter-community routing based on social relationship among communities. Finally, the experimental results show that the proposed RISC not only speeds up content retrieval but also outperforms existent methods. (C) 2017 Elsevier B.V. All rights reserved.
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