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An intelligent SDN‐enabled CCN routing mechanism with community division.
- Source :
- Transactions on Emerging Telecommunications Technologies; Feb2020, Vol. 31 Issue 2, p1-19, 19p
- Publication Year :
- 2020
-
Abstract
- In recent years, Content‐Centric Networking (CCN) has been considered as a novel promising paradigm for the future Internet, shifting from provider‐driven end‐to‐end communication mode to interest‐driven content retrieval communication one, which greatly depends on routing technology. In spite of this, CCN routing always faces two significant issues, ie, scalability and large‐scale deployment, which restrict the increasing development of CCN but can be addressed by introducing the ideas of Software‐Defined Networking (SDN) and community (domain) division. However, the current routing proposals on the integrating with SDN, community division or their combination, still have some limitations to be improved. Therefore, in this paper, we propose a novel and intelligent CCN Routing mechanism based on SDN and Community Division (CRSCD). At first, a community division scheme based on eigenvetor centrality and label propagation is proposed to help content retrieval. Then, for each divided community, we deploy an SDN controller which consists of two tables, ie, content index and community topology to help manage the global network view. Finally, a comprehensive routing mechanism including intracommunity routing based on Ant Colony Optimization (ACO) and intercommunity routing based on interaction frequency is devised. The proposed CRSCD is implemented over Cogent topology, and the experimental results demonstrate that the introduction of SDN and community division can accelerate content retrieval greatly and has better performance than the previous work. [ABSTRACT FROM AUTHOR]
- Subjects :
- SOFTWARE-defined networking
COMMUNITIES
Subjects
Details
- Language :
- English
- ISSN :
- 21613915
- Volume :
- 31
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Transactions on Emerging Telecommunications Technologies
- Publication Type :
- Academic Journal
- Accession number :
- 141756578
- Full Text :
- https://doi.org/10.1002/ett.3698