基于蚁群的内容中心网络转发方法

Chengming Li, K. Okamura, Wenjing Liu
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引用次数: 21

摘要

以内容为中心的网络最近作为重新思考互联网基础的一种全新方法出现,它从以主机为中心的通信模型转变为以内容为中心的模型。然而,主要的挑战之一是在保持可伸缩性和移动性的同时,支持多路径上的兴趣的智能转发。为了解决这一问题,本文在前人工作的基础上提出了一种基于域的智能转发方法。我们将网络划分为多个域。我们采用基于isp的聚合来减少内容命名空间,并采用基于域的贪婪蚁群转发(GACF)算法来支持数据包的智能转发。GACF中有两种蚂蚁,它们在域间转发和域内转发中采取不同的策略。GACF算法是一种动态复杂网络中感知服务质量的转发算法。评估结果表明,我们的方案提高了以内容为中心的网络的成本效率和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ant Colony Based Forwarding Method for Content-Centric Networking
Content-Centric Networking has recently emerged as a clean slate approach to rethink Internet foundations, which changes from host-centric communication model to content-centric model. However, one of the major challenges is supporting intelligent forwarding of Interests over multiple paths while keeping scalability and mobility. To address this challenge, this paper proposed an domain-based intelligent forwarding method based on our previous work. We divided the network into multiple domains. We adopted the ISP-based aggregation to reduce the content naming space and used a domain-based Greedy Ant Colony Forwarding (GACF) algorithm to support intelligent forwarding of packets. There are two kinds of ants in GACF which take different policies in the Inter-domain Forwarding and the Intra-domain Forwarding. The GACF algorithm is a Quality of Service aware forwarding algorithm in the dynamic complex network. The results of the evaluation prove that our proposals improve the cost-efficiency and scalability for content-centric networking.
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