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FlowQoS: QoS for the rest of us

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Ye-Qiong SongAuthors Info & Claims

HotSDN '14: Proceedings of the third workshop on Hot topics in software defined networking

Pages 207 - 208

https://doi.org/10.1145/2620728.2620766

Published: 22 August 2014 Publication History

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Abstract

We describe the architecture of FlowQoS, a system that makes it easier for users in home broadband access networks to configure quality of service based on applications and devices, as opposed to obscure, low-level parameters. The central tenet of FlowQoS's design is control logic that performs application identification and uses flow-table rules to forward traffic through the appropriate rate shapers on a home router. The architecture has two components: a flow classifier, which maps application traffic to the appropriate parts of flow space; and an SDN-based rate shaper, which shapes application traffic by forwarding it through the appropriate shaped virtual links in the home gateway. This paper describes the high-level architecture of FlowQoS, as well as our current implementation.

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Cited By

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Mocelin Júnior NFiorese A(2023)FLOWPRI-SDN: A Framework for Bandwidth Management for Prioritary Data Flows Applied to a Smart City ScenarioAdvanced Information Networking and Applications10.1007/978-3-031-29056-5_31(346-357)Online publication date: 20-Mar-2023
https://doi.org/10.1007/978-3-031-29056-5_31
Elbasheer MAldegheishem AAlrajeh NLloret J(2022)Video Streaming Adaptive QoS Routing with Resource Reservation (VQoSRR) Model for SDN NetworksElectronics10.3390/electronics1108125211:8(1252)Online publication date: 15-Apr-2022
https://doi.org/10.3390/electronics11081252
Kuo JWang CShi YYang DChen W(2022)Scalable Rate Allocation for SDN With Diverse Service RequirementsIEEE Transactions on Services Computing10.1109/TSC.2020.304359515:4(2248-2260)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TSC.2020.3043595
Show More Cited By

Index Terms

FlowQoS: QoS for the rest of us
1. Networks
  1. Network services
    1. Network management

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Information & Contributors

Information

Published In

HotSDN '14: Proceedings of the third workshop on Hot topics in software defined networking

August 2014

252 pages

ISBN:9781450329897

DOI:10.1145/2620728

Program Chairs:
Aditya Akella
University of Wisconsin-Madison, USA
,
Albert Greenberg
Microsoft, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2014

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Author Tags

Qualifiers

Poster

Funding Sources

Division of Computer and Network Systems
Fulbright Foreign Student Fellowship
Google

Conference

SIGCOMM'14

Sponsor:

SIGCOMM

SIGCOMM'14: ACM SIGCOMM 2014 Conference

August 22, 2014

Illinois, Chicago, USA

Acceptance Rates

HotSDN '14 Paper Acceptance Rate 50 of 114 submissions, 44%;

Overall Acceptance Rate 88 of 198 submissions, 44%

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Citations

Cited By

View all

Mocelin Júnior NFiorese A(2023)FLOWPRI-SDN: A Framework for Bandwidth Management for Prioritary Data Flows Applied to a Smart City ScenarioAdvanced Information Networking and Applications10.1007/978-3-031-29056-5_31(346-357)Online publication date: 20-Mar-2023
https://doi.org/10.1007/978-3-031-29056-5_31
Elbasheer MAldegheishem AAlrajeh NLloret J(2022)Video Streaming Adaptive QoS Routing with Resource Reservation (VQoSRR) Model for SDN NetworksElectronics10.3390/electronics1108125211:8(1252)Online publication date: 15-Apr-2022
https://doi.org/10.3390/electronics11081252
Kuo JWang CShi YYang DChen W(2022)Scalable Rate Allocation for SDN With Diverse Service RequirementsIEEE Transactions on Services Computing10.1109/TSC.2020.304359515:4(2248-2260)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TSC.2020.3043595
Zhang XSalamatian KXie G(2022)Improving Open Virtual Switch Performance Through Tuple Merge Relaxation in Software Defined NetworksIEEE Transactions on Network and Service Management10.1109/TNSM.2022.315559219:3(2078-2091)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3155592
Liu LZhou JXing HGuo X(2022)A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDNCollaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-92635-9_29(498-519)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-92635-9_29
Zhang XXie GWang XZhang PLi YSalamatian K(2021)Fast Online Packet Classification With Convolutional Neural NetworkIEEE/ACM Transactions on Networking10.1109/TNET.2021.310011429:6(2765-2778)Online publication date: Dec-2021
https://doi.org/10.1109/TNET.2021.3100114
Saha NBera SMisra S(2021)Sway: Traffic-Aware QoS Routing in Software-Defined IoTIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2018.28472969:1(390-401)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TETC.2018.2847296
Made Suartana IRozaq A(2021)Performance Modeling QoS for Multimedia Streaming in Software Defined Network2021 Fourth International Conference on Vocational Education and Electrical Engineering (ICVEE)10.1109/ICVEE54186.2021.9649681(1-5)Online publication date: 2-Oct-2021
https://doi.org/10.1109/ICVEE54186.2021.9649681
Gasior DGasior D(2021)IntroductionResource Allocation for Software Defined Networks10.1007/978-3-030-59098-7_1(1-13)Online publication date: 7-Jan-2021
https://doi.org/10.1007/978-3-030-59098-7_1
Pham SHeeren PSchmidt CSilhavy DArbanowski S(2020)Evaluation of Shared Resource Allocation Using SAND for ABR StreamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/338892616:2s(1-18)Online publication date: 10-Jul-2020
https://dl.acm.org/doi/10.1145/3388926
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Recommendations

Contextual Router: Advancing Experience Oriented Networking to the Home

An end-to-end QoS framework with on-demand bandwidth reconfiguration

On dynamic packet fragmentation for traffic integration over bandwidth-limited links