Vantage Point Selection for IPv6 Measurements: Benefits and Limitations of RIPE Atlas Tags

We discussed the usage of system tags for performing vantage point selection of dual-stacked probes. Our exploration reveals how with around 2K dual-stacked probes, RIPE Atlas provides the richest source of vantage points for IPv6 measurement studies. User tags on the other hand are based on a manual process which is largely dependent on proactive participation of probe hosts. We show that user tags tend to become stale over time.

Measurement Research within the Python3 Ecosystem

In this talk, we present a set of tools that we find useful for measurement research and would like to share them with the larger RIPE community. Given the nature of the talk, we will make a live demo of running code snippets using the IPython notebook. A recording of our presentation can be found on Vimeo.

Lessons Learned From Using the RIPE Atlas Platform for Measurement Research

We gave a talk in which we share our experiences and lessons learned from using the RIPE Atlas platform for conducting measurement research. We describe how subtle rate limits can affect experiment design. We show how calibration of probes from hardware revision down to the firmware version is useful when analyzing measurement results. We describe the usefulness by showing how different hardware revisions affect measurement results. We show how per-hop aggregation mistakes during data analysis can have impacts on measurement results.

Measuring Happy Eyeballs at RIPE 66

Vaibhav Bajpai gave a talk about his work on measuring the effectiveness of happy eyeballs at the RIPE 66 meeting. The IETF has developed solutions that promote a healthy IPv4 and IPv6 co-existence. The happy eyeballs algorithm for instance, provides recommendations to application developers to help prevent bad user experience in situations where IPv6 connectivity is broken. We study the effectiveness of the happy eyeballs algorithm. A recording of the talk can be found on Vimeo.