Quantifying Interference between measurements on the RIPE Atlas platform

@inproceedings{Holterbach2016,
	title        = {Quantifying Interference between measurements on the RIPE Atlas platform},
	author       = {Holterbach, Thomas and Pelsser, Cristel and Bush, Randy and Vanbever, Laurent},
	year         = 2016,
	month        = may,
	booktitle    = {CoRes},
	address      = {Bayonne, France},
	url          = {https://hal.archives-ouvertes.fr/hal-01306027},
	abstract     = {Public measurement platforms composed of low-end hardware devices such as RIPE Atlas have gained significant traction in the research community. Such platforms are indeed particularly interesting as they provide Internet-wide measurement capabilities together with an ever growing set of measurement tools. To be scalable though, they allow for concurrent measurements between users. This paper answers a fundamental question for any platform user : Do measurements launched by others impact my results ? If so, what can I do about it ? We measured the impact of multiple users running experiments in parallel on the RIPE Atlas platform. We found that overlapping measurements do interfere with each other. We found that increasing hardware CPU greatly helped in limiting interference on the measured delays.},
	groups       = {National Conferences},
	keywords     = {Measurement, Delay, RIPE Atlas},
	pdf          = {https://hal.archives-ouvertes.fr/hal-01306027/file/cores2016.pdf}
}