@inproceedings {Cas2014a,
	title = {Distributed active measurement of Internet queuing delays},
	booktitle = {Passive and Active Measurement (PAM), Extended Abstract},
	year = {2014},
	month = {March},
	address = {Los Angeles, USA},
	abstract = {<p>Despite growing link capacities, over-dimensioned buffers are still causing, in the Internet of the second decade of the third millenium, hosts to suffer from severe queuing delays (or bufferbloat). While maximum bufferbloat possibly exceeds few seconds, it is far less clear how often this maximum is hit in practice. This paper reports on our ongoing work to build a spatial and temporal map of Internet bufferbloat, describing a system based on distributed agents running on PlanetLab that aims at providing a quantitative answer to the above question.</p>},
	url = {http://www.enst.fr/~drossi/paper/rossi14pam-b.pdf},
	author = {P. Casoria and D Rossi and Jordan Aug{\'e} and Marc-Oliver Buob and T. Friedman and A. Pescape}
}
@inproceedings {Tes2013,
	title = {Data Plane Throughput vs Control Plane Delay: Experimental Study of BitTorrent Performance},
	booktitle = {IEEE P2P{\textquoteright}XIII},
	year = {2013},
	month = {09/2013},
	abstract = {In this paper, we address the trade-off between the data plane efficiency and the control plane timeliness for the BitTorrent performance. We argue that loss-based congestion control protocols can fill large buffers, leading to a higher end-to-end delay, unlike low-priority or delay-based congestion control protocols. We perform experiments for both the uTorrent and mainline BitTorrent clients, and we study the impact of uTP (a novel transport protocol proposed by BitTorrent) and several TCP congestion control algorithms (Cubic, New Reno, LP, Vegas and Nice) on the download completion time. Briefly, in case peers in the swarm all use the same congestion control algorithm, we observe that the specific algorithm has only a limited impact on the swarm performance. Conversely, when a mix of TCP congestion control algorithms coexists, peers employing a delay-based low-priority algorithm exhibit shorter completion time.},
	url = {http://www.enst.fr/~drossi/paper/rossi13p2p-a.pdf},
	author = {C. Testa and D Rossi and A. Rao and A. Legout}
}
@article {Bar2013a,
	title = {Database Layer Design},
	number = {D3.2},
	year = {2013},
	month = {11/2013},
	institution = {mPlane Consortium},
	type = {Public Deliverable},
	address = {Torino},
	keywords = {big data, databases, repositories, storage},
	issn = {D3.2},
	author = {A B{\"a}r and P. Casas and Alessandro D{\textquoteright}Alconzo and Alessandro Finamore and Antonio Barbuzzi and Maurizio Dusi and Gianni De Rosa and Tivadar Szemethy and Ilias Leontiadis and D Rossi and Jordan Aug{\'e} and Marc-Oliver Buob}
}
@article {Pap2013,
	title = {Design of Analysis Modules},
	number = {D4.1},
	year = {2013},
	month = {11/2013},
	institution = {mPlane Consortium},
	type = {Public Deliverable},
	address = {Torino},
	keywords = {algorithms, analysis},
	isbn = {D4.1},
	issn = {D4.1},
	author = {Dimitri Papadimitriou and Zied Ben-Houidi and Samir Ghamri-Doudane and D Rossi and M. Milanesio and P. Casas and Alessandro D{\textquoteright}Alconzo and Edion Tego and Francesco Matera and Maurizio Dusi and Tivadar Szemethy and L. M{\'a}th{\'e} and Alessandro Finamore and Stefano Traverso and Ilias Leontiadis and Yan Grunenberger and L. Baltrunas and Benoit Donnet and Guy Leduc and Y. Liao}
}
@inproceedings {Ara2013,
	title = {Dissecting Bufferbloat: Measurement and Per-Application Breakdown of Queueing Delay},
	booktitle = {ACM CoNEXT{\textquoteright}13, Student Workshop},
	year = {2013},
	abstract = {<p>We propose a passive methodology to estimate the queueing delay incurred by TCP traffic, and additionally leverage DPI classification to breakdown the delay across different applications. Ultimately, we correlate the queueing delay to the performance perceived by the users of that applications, depending on their delay-sensitivity. We implement our methodology in Tstat, and make it available 1 as open source software to the community. We validate and tune the tool, and run a preliminary measurement campaign based on a real ISP traffic trace, showing interesting yet partly counter-intuitive results.</p>},
	doi = {10.1145/2537148.2537785},
	url = {http://www.enst.fr/~drossi/paper/rossi13conext.pdf},
	author = {A. Araldo and D Rossi}
}
