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Poster: Empirically Testing the PacketLab Model
會議論文集

Poster: Empirically Testing the PacketLab Model

Tzu-Bin Yan, Zesen Zhang, Bradley Huffaker, Ricky Mok, kc claffy 和 Kirill Levchenko
Proceedings of the 2023 ACM on Internet Measurement Conference, 頁碼.724-725
ACM Conferences
IMC '23: ACM Internet Measurement Conference
24/10/2023
Web of Science ID: WOS:001353181500060

摘要

Networks -- Network performance evaluation -- Network measurement
PacketLab is a recently proposed model for accessing remote vantage points. The core design is for the vantage points to export low-level network operations that measurement researchers could rely on to construct more complex measurements. Motivating the model is the assumption that such an approach can overcome persistent challenges such as the operational cost and security concerns of vantage point sharing that researchers face in launching distributed active Internet measurement experiments. However, the limitations imposed by the core design merit a deeper analysis of the applicability of such model to real-world measurements of interest. We undertook this analysis based on a survey of recent Internet measurement studies, followed by an empirical comparison of PacketLab-based versus native implementations of common measurement methods. We showed that for several canonical measurement types common in past studies, PacketLab yielded similar results to native versions of the same measurements. Our results suggest that PacketLab could help reproduce or extend around 16.4% (28 out of 171) of all surveyed studies and accommodate a variety of measurements from latency, throughput, network path, to non-timing data.

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https://doi.org/10.1145/3618257.3624999檢視
已出版(紀錄版本) 開放

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