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Title: Poster: Empirically Testing the PacketLab Model
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.  more » « less
Award ID(s):
2213689
PAR ID:
10529687
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
IMC '23: Proceedings of the 2023 ACM on Internet Measurement Conference
Date Published:
ISBN:
9798400703829
Page Range / eLocation ID:
724 to 725
Format(s):
Medium: X
Location:
Montreal QC Canada
Sponsoring Org:
National Science Foundation
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