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TPy: A Lightweight Framework for Agile Distributed Network Experiments

Steinmetzer, Daniel ; Stute, Milan ; Hollick, Matthias (2018)
TPy: A Lightweight Framework for Agile Distributed Network Experiments.
2018 ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH'18). New Delhi India (02.11.2018-02.11.2018)
doi: 10.25534/tuprints-00013317
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint

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Kurzbeschreibung (Abstract)

Experimental validation of novel network solutions, protocols, and applications gains increasing importance. The complexity of today's network systems makes evaluations in physical testbeds mandatory to capture real-world effects. However, this causes methodological and technical issues and challenges researchers in handling their agile testbed deployments. In contrast to Internet-scale testbeds, most agile experiments require specific topologies, specialized hardware, or a custom environment. They typically run only a few times and demand live user interaction. Existing management systems for Internet-scale testbeds do not accommodate these needs due to their complexity and maintenance overhead. In this paper, we present TPy, a lightweight and flexible framework to conduct distributed network experiments. TPy is written in Python and extendable via modules. To demonstrate its versatility and ease-of-use, we use TPy to perform experiments in the domains of millimeter-wave and secure multi-hop communications. We share TPy as open source software to support the community of experimental evaluation.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Steinmetzer, Daniel ; Stute, Milan ; Hollick, Matthias
Art des Eintrags: Zweitveröffentlichung
Titel: TPy: A Lightweight Framework for Agile Distributed Network Experiments
Sprache: Englisch
Publikationsjahr: 2018
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2018
Ort der Erstveröffentlichung: New York, NY
Verlag: Association for Computing Machinery
Buchtitel: WiNTECH '18 : Proceedings of the 12th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization
Veranstaltungstitel: 2018 ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH'18)
Veranstaltungsort: New Delhi India
Veranstaltungsdatum: 02.11.2018-02.11.2018
DOI: 10.25534/tuprints-00013317
URL / URN: https://tuprints.ulb.tu-darmstadt.de/13317
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

Experimental validation of novel network solutions, protocols, and applications gains increasing importance. The complexity of today's network systems makes evaluations in physical testbeds mandatory to capture real-world effects. However, this causes methodological and technical issues and challenges researchers in handling their agile testbed deployments. In contrast to Internet-scale testbeds, most agile experiments require specific topologies, specialized hardware, or a custom environment. They typically run only a few times and demand live user interaction. Existing management systems for Internet-scale testbeds do not accommodate these needs due to their complexity and maintenance overhead. In this paper, we present TPy, a lightweight and flexible framework to conduct distributed network experiments. TPy is written in Python and extendable via modules. To demonstrate its versatility and ease-of-use, we use TPy to perform experiments in the domains of millimeter-wave and secure multi-hop communications. We share TPy as open source software to support the community of experimental evaluation.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-133172
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Sichere Mobile Netze
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NICER – Vernetzte infrastrukturlose Kooperation zur Krisenbewältigung
Hinterlegungsdatum: 30 Nov 2020 12:50
Letzte Änderung: 20 Okt 2023 09:34
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