What is it about?
We now have the technology to extract incredibly fine-grained measurements from networking devices, with the potential to gain a deep insight into the state of the networks. However, deploying these techniques overwhelms data collection and analysis due to the high rate of exported data. This paper proposes a technique to leverage the network itself to manage the data structures at the analysis-servers, enabling a CPU-bypassing technique that greatly improves the data collection performance.
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Why is it important?
This solution helps make recently proposed fine-grained network telemetry techniques viable, by reducing the cost of collecting the high rate of generated information.
Perspectives
This project has been my main focus during the last past years of my PhD, and it has been a great pleasure to work with and get to know these amazing co-authors.
Jonatan Langlet
Queen Mary University of London
Read the Original
This page is a summary of: Direct Telemetry Access, September 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3603269.3604827.
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