The paper *The Next Generation of BGP Data Collection Platforms* [1] won the best paper award in Sigcomm 2024. It describes a novel approach to identify the level of redundancy in BGP.
"The paper contributes an elegant algorithmic solution to the following problem: how to manage the collection of BGP feeds from all ASes when faced with limited storage capacity. It proposes a clever sampling strategy that utilizes redundancy in BGP updates reported by different vantage points to minimize data storage/processing requirements. This strategy is implemented in *GILL*, a system that employs an overshoot-and-discard data collection scheme and is already deployed. The paper effectively demonstrates that GILL enhances our understanding of the Internet by consistently outperforming the current state of the art in every setting, providing better AS-level topologies, identifying more AS-hijacks, and improving outage inference" *Abstract* "BGP data collection platforms as currently architected face fundamental challenges that threaten their long-term sustainability. Inspired by recent work, we analyze, prototype, and evaluate a new optimization paradigm for BGP collection. Our system scales data collection with two components: analyzing redundancy between BGP updates and using it to optimize sampling of the incoming streams of BGP data. An appropriate definition of redundancy across updates depends on the analysis objective. Our contributions include: a survey, measurements, and simulations to demonstrate the limitations of current systems; a general framework and algo- rithms to assess and remove redundancy in BGP observations; and quantitative analysis of the benefit of our approach in terms of accuracy and coverage for several canonical BGP routing analyses such as hijack detection and topology mapping. Finally, we implement and deploy a new BGP peering collection system that automates peering expansion using our redundancy analytics, which provides a path forward for more thorough evaluation of this approach." How IETF can take advantages of the research and implementation described in this paper? Hesham [1]https://dl.acm.org/doi/10.1145/3651890.3672251
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