[hops] lessons learned from using ripe atlas
"Bajpai, Vaibhav" <v.bajpai@jacobs-university.de> Thu, 06 August 2015 10:14 UTC
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From: "Bajpai, Vaibhav" <v.bajpai@jacobs-university.de>
To: "hops@ietf.org" <hops@ietf.org>
Thread-Topic: lessons learned from using ripe atlas
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Date: Thu, 06 Aug 2015 10:14:02 +0000
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Cc: "Bajpai, Vaibhav" <v.bajpai@jacobs-university.de>
Subject: [hops] lessons learned from using ripe atlas
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Dear hops, [...] > We, as chairs, will start a Wiki (soon) to collect information about > measurement platforms as well as measurement tools (and take this as a > starting point). Let us as well as the group know if you have further > knowledge about this kind of overview papers or similar things by posting a > pointer on the list! Perhaps one more that might interest folks: As you know RIPE Atlas was initially designed to measure reachability and connectivity of the Internet. With the deployment of 14K probes, there is seen trend to use the platform for performance-based measurements (such as comparing v4/v6 latency on the Internet). Given, we have been in a position to have close collaboration (through the LEONE project) with SamKnows (a dedicated performance-measurement platform), we decided to share our experiences in using the RIPE Atlas platform from this lens. This work recently got accepted to ACM CCR July 2015 issue and came online (PDF link below) today. Thought folks might find it interesting so sharing it along: ----------------8<-----------------8<-----------------8<-----------------8< Lessons Learned from using the RIPE Atlas Platform for Measurement Research Vaibhav Bajpai, Steffie Jacob Eravuchira, Jürgen Schönwälder ACM Computer Communication Review (CCR), July, 2015 We reflect upon our experience in using the RIPE Atlas platform for measurement-based research. We show how in addition to credits, control checks using rate limits are in place to ensure that the platform does not get overloaded with measurements. We show how the Autonomous System (AS)-based distribution of RIPE Atlas probes is heavily skewed which limits possibilities of measurements sourced from a specific origin-AS. We discuss the significance of probe calibration and how we leverage it to identify load issues in older hardware versions (38.6% overall as of Sep 2014) of probes. We show how performance measurement platforms (such as RIPE Atlas, SamKnows, BISmark and Dasu) can benefit from each other by demonstrating two example use-cases. We also open discussion on how RIPE Atlas deployment can be made more useful by relaying more probe metadata information back to the scientific community and by strategically deploying probes to reduce the inherent sampling bias embedded in probe-based measurement platforms. Paper: http://dx.doi.org/10.1145/2805789.2805796 Mirror: http://vaibhavbajpai.com/documents/papers/proceedings/ripeatlas-ccr-2015.pdf ----------------8<-----------------8<-----------------8<-----------------8< Best, Vaibhav ===================================================== Vaibhav Bajpai Room 91, Research I School of Engineering and Sciences Jacobs University Bremen, Germany www.vaibhavbajpai.com =====================================================
- [hops] lessons learned from using ripe atlas Bajpai, Vaibhav