The evolution from traditional IP-based networking to Named Data Networking (NDN) represents a paradigm shift to address the inherent limitations of current network architectures, such as scalability, mobility, and efficient data distribution. NDN introduces an information-centric approach where data is identified and retrieved based on names rather than locations, offering more efficient data dissemination and enhanced security. However, the transition to NDN, alongside the need to integrate it with existing IP infrastructures, necessitates the development of flexible and scalable testbeds that support diverse experimental scenarios across various physical media and networking protocol stacks. In this paper, we present NetScaNDN, a scalable, flexible, and plug-and-play testbed designed to facilitate such experiments. NetScaNDNl employs an automated process for node discovery, configuration, and installation, enabling seamless setup and execution of experiments on both wired and wireless infrastructures simultaneously. Additionally, it incorporates a central log repository using the syslog protocol, allowing comprehensive measurement and evaluation of user-defined metrics across different network layers. NetScaNDN offers a robust platform for researchers to explore and validate various networking scenarios, advancing the study of IP and NDN-based applications.

翻译：从传统基于IP的网络向命名数据网络（NDN）的演进，代表了一种旨在解决当前网络架构固有局限（如可扩展性、移动性和高效数据分发）的范式转变。NDN引入了一种以信息为中心的方法，其中数据基于名称而非位置进行标识和检索，从而提供更高效的数据分发和更强的安全性。然而，向NDN的过渡，以及将其与现有IP基础设施集成的需求，催生了对灵活且可扩展测试平台的需求，这些平台需能支持跨越不同物理介质和网络协议栈的多样化实验场景。本文提出NetScaNDN，一个旨在促进此类实验的可扩展、灵活且即插即用的测试平台。NetScaNDN采用自动化的节点发现、配置和安装流程，能够同时在有线和无线基础设施上无缝设置并执行实验。此外，它通过集成一个使用syslog协议的中心化日志存储库，允许对不同网络层的用户自定义指标进行全面测量和评估。NetScaNDN为研究人员提供了一个强大的平台，用以探索和验证各种网络场景，从而推动基于IP和NDN的应用研究。