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PoliFi: Airtime Policy Enforcement for WiFi
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO)ORCID-id: 0000-0001-5241-6815
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0002-8731-2482
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0001-7311-9334
2019 (Engelska)Ingår i: IEEE Wireless Communications and Networking Conference, WCNC, IEEE, 2019, s. 1-6, artikel-id 8885440Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

As WiFi grows ever more popular, airtime contention becomes an increasing problem. One way to alleviate this is through network policy enforcement. Unfortunately, WiFi lacks protocol support for configuring policies for its usage, and since network-wide coordination cannot generally be ensured, enforcing policy is challenging. However, as we have shown in previous work, an access point can influence the behaviour of connected devices by changing its scheduling of transmission opportunities, which can be used to achieve airtime fairness. In this work, we show that this mechanism can be extended to successfully enforce airtime usage policies in WiFi networks. We implement this as an extension our previous airtime fairness work, and present PoliFi, the resulting policy enforcement system. Our evaluation shows that PoliFi makes it possible to express a range of useful policies. These include prioritisation of specific devices; balancing groups of devices for sharing between different logical networks or network slices; and limiting groups of devices to implement guest networks or other low-priority services. We also show how these can be used to improve the performance of a real-world DASH video streaming application.

Ort, förlag, år, upplaga, sidor
IEEE, 2019. s. 1-6, artikel-id 8885440
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-69641DOI: 10.1109/WCNC.2019.8885440ISBN: 9781538676462 (tryckt)OAI: oai:DiVA.org:kau-69641DiVA, id: diva2:1256183
Konferens
2019 IEEE Wireless Communications and Networking Conference, WCNC 2019; Marrakesh; Morocco; 15 April 2019 through 19 April 2019
Tillgänglig från: 2018-10-16 Skapad: 2018-10-16 Senast uppdaterad: 2020-01-23Bibliografiskt granskad
Ingår i avhandling
1. Bufferbloat and Beyond: Removing Performance Barriers in Real-World Networks
Öppna denna publikation i ny flik eller fönster >>Bufferbloat and Beyond: Removing Performance Barriers in Real-World Networks
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The topic of this thesis is the performance of computer networks. While network performance has generally improved with time, over the last several years we have seen examples of performance barriers limiting network performance. In this work we explore such performance barriers and look for solutions.

The problem of excess persistent queueing latency, known as bufferbloat, serves as our starting point; we examine its prevalence in the public internet, and evaluate solutions for better queue management, and explore how to improve on existing solutions to make them easier to deploy.

Since an increasing number of clients access the internet through WiFi networks, examining WiFi performance is a natural next step. Here we also look at bufferbloat, as well as the so-called performance anomaly, where stations with poor signal strengths can severely impact the performance of the whole network. We present solutions for both of these issues, and additionally design a mechanism for assigning policies for distributing airtime between devices on a WiFi network. We also analyse the “TCP Small Queues” latency minimisation technique implemented in the Linux TCP stack and optimise its performance over WiFi networks.

Finally, we explore how high-speed network processing can be enabled in software, by looking at the eXpress Data Path framework that has been gradually implemented in the Linux kernel as a way to enable high-performance programmable packet processing directly in the operating system’s networking stack.

A special focus of this work has been to ensure that the results are carried forward to the implementation stage, which is achieved by releasing implementations as open source software. This includes parts that have been accepted into the Linux kernel, as well as a separate open source measurement tool, called Flent, which is used to perform most of the experiments presented in this thesis, and also used widely in the bufferbloat community.

Abstract [en]

The topic of this thesis is the performance of computer networks in general, and the internet in particular. While network performance has generally improved with time, over the last several years we have seen examples of performance barriers limiting network performance. In this work we explore such performance barriers and look for solutions.

Our exploration takes us through three areas where performance barriers are found: The bufferbloat phenomenon of excessive queueing latency, the performance anomaly in WiFi networks and related airtime resource sharing problems, and the problem of implementing high-speed programmable packet processing in an operating system. In each of these areas we present solutions that significantly advance the state of the art.

The work in this thesis spans all three aspects of the field of computing, namely mathematics, engineering and science. We perform mathematical analysis of algorithms, engineer solutions to the problems we explore, and perform scientific studies of the network itself. All our solutions are implemented as open source software, including both contributions to the upstream Linux kernel, as well as the Flent test tool, developed to support the measurements performed in the rest of the thesis.

Ort, förlag, år, upplaga, sidor
Karlstad: Karlstads universitet, 2018
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:42
Nyckelord
Bufferbloat, AQM, WiFi, XDP, TSQ, Flent, network measurement, performance evaluation, fairness, queueing, programmable packet processing
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-69416 (URN)978-91-7063-878-7 (ISBN)978-91-7063-973-9 (ISBN)
Disputation
2018-11-23, 21A342, Eva Erikssonsalen, Karlstad, 09:15 (Engelska)
Opponent
Handledare
Projekt
HITS, 4707
Forskningsfinansiär
KK-stiftelsen
Anmärkning

Paper 6 ingick som manuskript i avhandlingen, nu publicerad.

Tillgänglig från: 2018-10-26 Skapad: 2018-09-27 Senast uppdaterad: 2020-02-25Bibliografiskt granskad

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Høiland-Jørgensen, TokeHurtig, PerBrunström, Anna

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