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High-quality traffic measurements from realistic deployments are essential for understanding and improving new network technologies. For Named Data Networking, collecting such measurements is difficult because real-world deployments are limited. To address this problem, we created a dataset of NDN traffic traces and a toolkit for capturing, analyzing, and replaying them. The dataset is collected from real routers on the official NDN testbed and is the first large, non-synthetic NDN dataset available to the research community. This paper presents the dataset and tools, describes their properties, and shares insights useful for broader NDN research.more » « less
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Wu, Yuanhao; Mutlu, Faruk Volkan; Liu, Yuezhou; Yeh, Edmund; Liu, Ran; Iordache, Catalin; Balcas, Justas; Newman, Harvey; Sirvinskas, Raimondas; Lo, Michael; et al (, ICN '22: Proceedings of the 9th ACM Conference on Information-Centric Networking)
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