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Comparison of Performance Among Forwarding Strategies in CCN: Disaster Scenarios

机译:CCN转发策略的表现比较:灾害情景

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摘要

Content-Centric Networking (CCN) is a novel modern architecture for the Internet in the future. This architecture concentrates on content retrieval and dissemination solution for communication models. Forwarding strategies are decision-making strategies whose aim is to define the forwarding destination, i.e., where and when request packets will be redirected. They are considered as the most crucial component in a network environment because of their contribution to determining which strategy is suitable to adopt in accordance with the environment and the applications. These strategies have not been initially designed to support complex applications and interactions that require Interest packet send rate, CCN table sizing, refreshing Pending Interest Table (PIT), and Content Store (CS), such as disaster scenarios, social network, and smart applications. The goal of this work is to evaluate the performance of CCN forwarding strategies in disaster scenarios. A network simulator (i.e., ndnSIM) is utilized to measure the performance in many scenarios by modifying Interest packet rate, PIT size, and CS size. Evaluation results achieved after performing the study on the selected strategies are considerably enhanced for the metrics cache hit, PIT size, Interest retransmissions, number of hops, delay, and Interest delivery. The main significance of this work is that it formulates a universal rule as the main function, which can adopt a suitable forwarding strategy accurately in accordance with the PIT and CS conditions and Interest packet rate, thus leading to increased Interest packet satisfaction utilization without increasing Interest packet retransmission and response delay.
机译:以内容为中心的网络(CCN)是未来互联网的新型现代架构。该体系结构专注于通信模型的内容检索和传播解决方案。转发策略是决策策略,其目的是定义转发目的地,即,将重定向请求数据包的何处以及何时。它们被认为是网络环境中最重要的组成部分,因为他们对确定哪种策略适合根据环境和应用程序采用的贡献。这些策略尚未最初旨在支持复杂的应用程序和交互,需要兴趣数据包发送速率,CCN表尺寸,刷新申请兴趣表(PIT)以及内容存储(CS),例如灾难场景,社交网络和智能应用程序。这项工作的目标是评估CCN转发策略在灾害情景中的表现。利用网络模拟器(即,NDNSIM)来通过修改兴趣分组速率,凹坑大小和CS大小来测量许多场景中的性能。对所选策略进行研究后实现的评估结果得到了大量增强,用于指数缓存命中,坑大小,兴趣重传,啤酒花,延迟和息息数。这项工作的主要意义是,它将普遍规则制定为主要功能,可以根据坑和CS条件和兴趣数据包率准确采用合适的转发策略,从而导致兴趣包满意度利用增加而不增加兴趣数据包重传和响应延迟。

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