Scalable area-based hierarchical control plane for software defined information centric networking

Shuai Gao, Yujing Zeng, Hongbin Luo, Hongke Zhang
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引用次数: 26

Abstract

Recently there has been a new emerging trend in integrating Information Centric Networking (ICN) and Software Defined Networking (SDN) together in the future internet research area. Software defined information centric networking (SD-ICN) may face more serious scalability problem in control plane compared with traditional SDN environment due to new features about in-network cache and content-based communication. In this paper, we address the control plane scalability problem from viewpoint of ICN/SDN integration and propose a scalable area-based hierarchical architecture (SAHA) for controller deployment in SD-ICN. The SAHA supports scalable awareness of network resources and content resources, as well as guarantees efficient interest matching and resource adaptation. Simulation experiments under OMNET++ show that the proposed SAHA can achieve good scalability in resource awareness and content-based communication.
软件定义信息中心网络中基于可扩展区域的分层控制平面
近年来,将信息中心网络(ICN)与软件定义网络(SDN)相结合成为未来互联网研究的新趋势。软件定义信息中心网络(SD-ICN)由于具有网络内缓存和基于内容通信的新特性,与传统的SDN环境相比,在控制平面上面临着更严重的可扩展性问题。本文从ICN/SDN集成的角度解决了控制平面的可扩展性问题,并提出了一种可扩展的基于区域的分层架构(SAHA),用于SD-ICN中的控制器部署。SAHA支持可扩展的网络资源和内容资源感知,保证高效的兴趣匹配和资源适配。在omnet++环境下的仿真实验表明,所提出的SAHA在资源感知和基于内容的通信方面具有良好的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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