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Flent :
Flent : The FLExible Network Tester
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- Høiland-Jørgensen, Toke (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
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- Grazia, Carlo Augusto (författare)
- University of Modena and Reggio Emilia
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- Hurtig, Per, 1980- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
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- Brunström, Anna, 1967- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
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(creator_code:org_t)
- 2017-12-05
- 2017
- Engelska.
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Ingår i: VALUETOOLS 2017. - New York, NY : Association for Computing Machinery (ACM). - 9781450363464 ; , s. 1-6
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https://kau.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Running network performance experiments on real systems is essential for a complete understanding of protocols and systems connected to the internet. However, the process of running experiments can be tedious and error-prone. In particular, ensuring reproducibility across different systems is difficult, and comparing different test runs from an experiment can be non-trivial.In this paper, we present a tool, called Flent, designed to make experimental evaluations of networks more reliable and easier to perform. Flent works by composing well-known benchmarking tools to, e.g., run tests consisting of several bulk data flows combined with simultaneous latency measurements. Tests are specified in source code, and several common tests are included with the tool. In addition, Flent contains features to automate test runs, collect relevant metadata and interactively plot and explore datasets.We showcase Flent's capabilities by performing a set of experiments evaluating the new BBR congestion control algorithm, using Flent's capabilities to reproduce experiments both in a controlled testbed and across the public internet. Our evaluation reveals several interesting features of BBR's performance.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Network experimentation
- Network performance analysis
- Network measurement
- Measurement tools
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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