Towards an observatory for network transparency research

Neuhaus, Stephan; Müntener, Roman; Edeline, Korian; Donnet, Benoit; Gubser, Elio

doi:10.1145/2959424.2959425

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Towards an observatory for network transparency research
Authors:	Neuhaus, Stephan Müntener, Roman Edeline, Korian Donnet, Benoit Gubser, Elio
DOI:	10.1145/2959424.2959425
Proceedings:	Proceedings of the 2016 workshop on Applied Networking Research Workshop - ANRW 16
Page(s):	71
Pages to:	73
Conference details:	Applied Networking Research Workshop (ANRW 16), Berlin, 16 July 2016
Issue Date:	2016
Publisher / Ed. Institution:	Association for Computing Machinery
ISBN:	9781450344432
Language:	English
Subjects:	Computer network; Network measurement
Subject (DDC):	004: Computer science
Abstract:	The Internet is full of middleboxes that change packets and flows. In fact, there is probably no IP or TCP header that is not affected by at least one middlebox. Obviously, middleboxes impede path transparency, i.e., the idea that an exchange of messages results in more or less the same packets, no matter what path the packets takes. But no one seems to have a truly global view of what middleboxes do to packets on what Internet paths, which would however be an essential knowledge for new transport protocols to be successfully deployed. We address these concerns in the MAMI project by building an observatory of path transparency measurements. The project hosts an extensive set of path transparency measurements – we believe it to be the first dataset to deal specifically with middlebox involvement. In this paper, we describe that Observatory and a number of questions that we want to address with the data in that Observatory. Eventually, the project will provide public access to that Observatory so that researchers and the interested public can ask their own questions about path transparency issues and middlebox involvement.
URI:	https://digitalcollection.zhaw.ch/handle/11475/8732
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Published as part of the ZHAW project:	MAMI – Measurement and Architecture for a Middleboxed Internet
Appears in collections:	Publikationen School of Engineering

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Neuhaus, S., Müntener, R., Edeline, K., Donnet, B., & Gubser, E. (2016). Towards an observatory for network transparency research [Conference paper]. Proceedings of the 2016 Workshop on Applied Networking Research Workshop - ANRW 16, 71–73. https://doi.org/10.1145/2959424.2959425

Neuhaus, S. et al. (2016) ‘Towards an observatory for network transparency research’, in Proceedings of the 2016 workshop on Applied Networking Research Workshop - ANRW 16. Association for Computing Machinery, pp. 71–73. Available at: https://doi.org/10.1145/2959424.2959425.

S. Neuhaus, R. Müntener, K. Edeline, B. Donnet, and E. Gubser, “Towards an observatory for network transparency research,” in Proceedings of the 2016 workshop on Applied Networking Research Workshop - ANRW 16, 2016, pp. 71–73. doi: 10.1145/2959424.2959425.

NEUHAUS, Stephan, Roman MÜNTENER, Korian EDELINE, Benoit DONNET und Elio GUBSER, 2016. Towards an observatory for network transparency research. In: Proceedings of the 2016 workshop on Applied Networking Research Workshop - ANRW 16. Conference paper. Association for Computing Machinery. 2016. S. 71–73. ISBN 9781450344432

Neuhaus, Stephan, Roman Müntener, Korian Edeline, Benoit Donnet, and Elio Gubser. 2016. “Towards an Observatory for Network Transparency Research.” Conference paper. In Proceedings of the 2016 Workshop on Applied Networking Research Workshop - ANRW 16, 71–73. Association for Computing Machinery. https://doi.org/10.1145/2959424.2959425.

Neuhaus, Stephan, et al. “Towards an Observatory for Network Transparency Research.” Proceedings of the 2016 Workshop on Applied Networking Research Workshop - ANRW 16, Association for Computing Machinery, 2016, pp. 71–73, https://doi.org/10.1145/2959424.2959425.