P4SQA: A P4 Switch-based QoS Assurance Mechanism for SDN

Data center networks include a wide variety of service categories, which leads to a complex network topology. As a result, the QoS of different service flows cannot be guaranteed. In this paper, we propose a QoS assurance mechanism based on P4 switches (P4SQA) to make full use of network resources....

Full description

Saved in:

Bibliographic Details
Published in:	IEEE eTransactions on network and service management Vol. 20; no. 4; p. 1
Main Authors:	Wu, Qianqian, Liu, Qiang, Jia, Zequn, Xin, Ning, Chen, Te
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Assurance Classification Classification algorithms Communications traffic Computational modeling Computer architecture Data centers Data models In-network Computing Machine learning algorithms Network topologies Neural networks Programmable Data Plane Quality of service Quality of service architectures Queues Software-defined networking Traffic Management
ISSN:	1932-4537, 1932-4537
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Data center networks include a wide variety of service categories, which leads to a complex network topology. As a result, the QoS of different service flows cannot be guaranteed. In this paper, we propose a QoS assurance mechanism based on P4 switches (P4SQA) to make full use of network resources. P4SQA includes two functions: in-network traffic classification and in-network queue management. To reduce the communication overhead and computational pressure on the Software Defined Network (SDN) controller, we offload part of the neural computation from the control plane to the data plane. A fully connected neural network-based traffic classification method is deployed in the programmable data plane to classify different traffic types. In addition, the optimized active queue management algorithm CoDeL is integrated into the P4 switch (PCoDeL) to prevent network congestion while guaranteeing QoS more effectively. The evaluation results show that traffic classification accuracy has improved, especially in terms of the F1_score, which reached 0.97, significantly better than other state-of-the-art methods. Moreover, compared to traditional queue management algorithms, PCoDeL can improve network throughput and reduce transmission delay, which verifies the effectiveness and superiority of P4SQA in ensuring QoS.
AbstractList	Data center networks include a wide variety of service categories, which leads to a complex network topology. As a result, the QoS of different service flows cannot be guaranteed. In this paper, we propose a QoS assurance mechanism based on P4 switches (P4SQA) to make full use of network resources. P4SQA includes two functions: in-network traffic classification and in-network queue management. To reduce the communication overhead and computational pressure on the Software Defined Network (SDN) controller, we offload part of the neural computation from the control plane to the data plane. A fully connected neural network-based traffic classification method is deployed in the programmable data plane to classify different traffic types. In addition, the optimized active queue management algorithm CoDeL is integrated into the P4 switch (PCoDeL) to prevent network congestion while guaranteeing QoS more effectively. The evaluation results show that traffic classification accuracy has improved, especially in terms of the F1_score, which reached 0.97, significantly better than other state-of-the-art methods. Moreover, compared to traditional queue management algorithms, PCoDeL can improve network throughput and reduce transmission delay, which verifies the effectiveness and superiority of P4SQA in ensuring QoS.
Author	Chen, Te Xin, Ning Liu, Qiang Wu, Qianqian Jia, Zequn
Author_xml	– sequence: 1 givenname: Qianqian surname: Wu fullname: Wu, Qianqian organization: School of Computer and Information Technology, Beijing Key Lab of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China – sequence: 2 givenname: Qiang orcidid: 0000-0001-5735-8642 surname: Liu fullname: Liu, Qiang organization: School of Computer and Information Technology, Beijing Key Lab of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China – sequence: 3 givenname: Zequn orcidid: 0000-0002-7144-4448 surname: Jia fullname: Jia, Zequn organization: School of Computer and Information Technology, Beijing Key Lab of Transportation Data Analysis and Mining, Beijing Jiaotong University, Beijing, China – sequence: 4 givenname: Ning orcidid: 0000-0002-1982-0741 surname: Xin fullname: Xin, Ning organization: Institute of Telecommunication and Navigation Satellite, China Academy of Space Technology, Beijing, China – sequence: 5 givenname: Te surname: Chen fullname: Chen, Te organization: Institute of Telecommunication and Navigation Satellite, China Academy of Space Technology, Beijing, China
BookMark	eNp9kEtrwkAUhYdioWr7AwpdDHSddF5mZroL9glqldj1MJncYEQTOxMp_feN6EK66OqeeznnHvgGqFc3NSB0S0lMKdEPy1k2jRlhPOZMEU35BepTzVkkRlz2zvQVGoSwJmSkqGZ9pOYiW6SPOMVzgbPvqnWrKLcBCrxoMpyGsPe2doCn4Fa2rsIWl43H2dPsGl2WdhPg5jSH6PPleTl-iyYfr-_jdBI5pkUbFSXNuZMKFFimgUtNlUiI5LLTSpYWkpxDokjZbaI7SCsLIKqweS6ZY3yI7o9_d7752kNozbrZ-7qrNEwTykeSCNG56NHlfBOCh9LsfLW1_sdQYg6AzAGQOQAyJ0BdRv7JuKq1bdXUrbfV5t_k3TFZAcBZE-UqUYr_AjsbcfQ
CODEN	ITNSC4
CitedBy_id	crossref_primary_10_1109_ACCESS_2024_3469730 crossref_primary_10_1007_s12083_023_01605_7 crossref_primary_10_1109_TNSE_2025_3535577 crossref_primary_10_1007_s10922_024_09814_y
Cites_doi	10.1145/3365609.3365864 10.1109/MCOM.2019.1800819 10.1145/2890955.2890968 10.1109/ICC45855.2022.9838597 10.1109/TNSM.2022.3207227 10.1007/s00521-020-05440-2 10.1109/ICC40277.2020.9149159 10.1145/2674005.2674996 10.1109/NFV-SDN.2018.8725736 10.1145/3037697.3037731 10.1016/j.comnet.2020.107597 10.1109/TNSM.2022.3150664 10.17487/RFC8289 10.1145/3447868 10.1145/3375235.3375239 10.1109/TNSM.2022.3198171 10.1016/j.jnca.2020.102890 10.1109/ICC42927.2021.9500571 10.1109/ACCESS.2021.3086704 10.1145/3229591.3229594 10.1145/3387514.3405865 10.1109/MIC.2011.56 10.1109/INFOCOM42981.2021.9488840 10.1109/ICC42927.2021.9500943 10.1109/TNSM.2021.3073597 10.1109/COMST.2021.3060582 10.1109/TNSM.2021.3077051 10.1109/TII.2021.3130279 10.1145/3544216.3544252 10.5220/0006105602530262
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
DBID	97E RIA RIE AAYXX CITATION
DOI	10.1109/TNSM.2023.3280913
DatabaseName	IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE Electronic Library (IEL) CrossRef
DatabaseTitle	CrossRef
DatabaseTitleList
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1932-4537
EndPage	1
ExternalDocumentID	10_1109_TNSM_2023_3280913 10138688
Genre	orig-research
GroupedDBID	0R~ 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABJNI ABQJQ ABVLG ACGFO ACIWK AENEX AGQYO AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 EBS HZ~ IES IFIPE IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE 4.4 AAYXX AETIX AGSQL AIBXA CITATION EJD
ID	FETCH-LOGICAL-c294t-df1b3c78e8ea29e37918460737e3787fae6b3e680f787487f7a7de08dabb72c23
IEDL.DBID	RIE
ISICitedReferencesCount	6
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001128152200004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1932-4537
IngestDate	Mon Jun 30 10:20:15 EDT 2025 Sat Nov 29 03:13:17 EST 2025 Tue Nov 18 22:33:35 EST 2025 Mon Aug 04 05:48:52 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	4
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c294t-df1b3c78e8ea29e37918460737e3787fae6b3e680f787487f7a7de08dabb72c23
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0002-7144-4448 0000-0002-1982-0741 0000-0001-5735-8642 0000-0001-8467-4034
PQID	2901357044
PQPubID	85504
PageCount	1
ParticipantIDs	crossref_citationtrail_10_1109_TNSM_2023_3280913 ieee_primary_10138688 proquest_journals_2901357044 crossref_primary_10_1109_TNSM_2023_3280913
PublicationCentury	2000
PublicationDate	2023-12-01
PublicationDateYYYYMMDD	2023-12-01
PublicationDate_xml	– month: 12 year: 2023 text: 2023-12-01 day: 01
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE eTransactions on network and service management
PublicationTitleAbbrev	T-NSM
PublicationYear	2023
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref12 ref15 ref14 ref31 ref11 ref33 ref10 ref32 ref2 ref1 ref17 ref16 ref19 ref18 Wang (ref7) 2021 ref24 ref23 ref26 ref25 ref20 ref22 ref21 Ruder (ref30) 2016 ref28 ref29 ref8 ref9 Siracusano (ref27) ref4 ref3 ref6 ref5
References_xml	– ident: ref21 doi: 10.1145/3365609.3365864 – ident: ref11 doi: 10.1109/MCOM.2019.1800819 – ident: ref25 doi: 10.1145/2890955.2890968 – ident: ref1 doi: 10.1109/ICC45855.2022.9838597 – ident: ref19 doi: 10.1109/TNSM.2022.3207227 – ident: ref9 doi: 10.1007/s00521-020-05440-2 – ident: ref17 doi: 10.1109/ICC40277.2020.9149159 – ident: ref16 doi: 10.1145/2674005.2674996 – ident: ref5 doi: 10.1109/NFV-SDN.2018.8725736 – year: 2021 ident: ref7 article-title: BytesGAN: A semi-supervised generative adversarial network for encrypted traffic classification of SDN edge gateway in green communication network publication-title: arXiv:2103.05250 – ident: ref15 doi: 10.1145/3037697.3037731 – ident: ref28 doi: 10.1016/j.comnet.2020.107597 – year: 2016 ident: ref30 article-title: An overview of gradient descent optimization algorithms publication-title: arXiv:1609.04747 – ident: ref3 doi: 10.1109/TNSM.2022.3150664 – ident: ref13 doi: 10.17487/RFC8289 – ident: ref14 doi: 10.1145/3447868 – ident: ref18 doi: 10.1145/3375235.3375239 – ident: ref6 doi: 10.1109/TNSM.2022.3198171 – ident: ref10 doi: 10.1016/j.jnca.2020.102890 – ident: ref12 doi: 10.1109/ICC42927.2021.9500571 – ident: ref20 doi: 10.1109/ACCESS.2021.3086704 – ident: ref24 doi: 10.1145/3229591.3229594 – ident: ref26 doi: 10.1145/3387514.3405865 – ident: ref4 doi: 10.1109/MIC.2011.56 – ident: ref22 doi: 10.1109/INFOCOM42981.2021.9488840 – ident: ref31 doi: 10.1109/ICC42927.2021.9500943 – ident: ref23 doi: 10.1109/TNSM.2021.3073597 – ident: ref2 doi: 10.1109/COMST.2021.3060582 – start-page: 513 volume-title: Proc. 19th USENIX Symp. Netw. Syst. Design Implement. (NSDI) ident: ref27 article-title: Re-architecting traffic analysis with neural network interface cards – ident: ref33 doi: 10.1109/TNSM.2021.3077051 – ident: ref29 doi: 10.1109/TII.2021.3130279 – ident: ref8 doi: 10.1145/3544216.3544252 – ident: ref32 doi: 10.5220/0006105602530262
SSID	ssj0058192
Score	2.3534346
Snippet	Data center networks include a wide variety of service categories, which leads to a complex network topology. As a result, the QoS of different service flows...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	1
SubjectTerms	Algorithms Assurance Classification Classification algorithms Communications traffic Computational modeling Computer architecture Data centers Data models In-network Computing Machine learning algorithms Network topologies Neural networks Programmable Data Plane Quality of service Quality of service architectures Queues Software-defined networking Traffic Management
Title	P4SQA: A P4 Switch-based QoS Assurance Mechanism for SDN
URI	https://ieeexplore.ieee.org/document/10138688 https://www.proquest.com/docview/2901357044
Volume	20
WOSCitedRecordID	wos001128152200004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1932-4537 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0058192 issn: 1932-4537 databaseCode: RIE dateStart: 20040101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA62eNCDz4r1RQ6ehK1pNpuHt6IWD3Zp2Sq9LdnsLBS0lT7075tkt1IRBW9ZSJblm0xmZifzDUKXROdFm4MOIu7SjCxSgaKCW0fOUMILozKfMX1-FHEsRyPVr4rVfS0MAPjLZ9ByQ5_Lz6dm6X6VWQ1vh5JLWUM1IXhZrLU6diPH7FWlLdtEXQ_jpNdyvcFbIZWO_PKb4fGdVH4cv96mdHf_-TV7aKdyHnGnlPY-2oDJAdpeoxQ8RLLPkkHnBndwn-HkY2yFEjhLlePBNMFWGEvXSQNwD1zJ73j-iq3XipO7uIGeuvfD24eg6o4QGKrYIrAYZ6EREiRoqiAUygZr3GqssGMpCg08C4FLUtgnG5YUQosciMx1lglqaHiE6pPpBI4RztshSJ3RSBvBspxJbSKtmY4ypmiuTBORFXSpqajDXQeLl9SHEESlDu3UoZ1WaDfR1deSt5I346_JDQfv2sQS2SY6WwkorVRrnrrEbxgJwtjJL8tO0ZZ7e3np5AzVF7MlnKNN874Yz2cXftd8AjDDvbw
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED90CuqD3-L8zINPQmeWpk3i21CH4lYmneJbSdMrDHQTt-m_b9J2ooiCbykktPwul7vr5X4HcEJ1ljdD1F4QujQjD5SnmAitI2cYDXOj0iJj-tARUSQfH1WvKlYvamEQsbh8hg03LHL52chM3a8yq-FNX4ZSzsNCwDmjZbnW7OANHLdXlbhsUnXWj-Juw3UHb_hMOvrLb6an6KXy4wAurEp77Z_fsw6rlftIWqW8N2AOh5uw8oVUcAtkj8d3rXPSIj1O4veBFYvnbFVG7kYxseKYul4aSLroin4H42di_VYSX0bbcN--6l9ce1V_BM8wxSeeRTn1jZAoUTOFvlA2XAutzgo7liLXGKY-hpLm9skGJrnQIkMqM52mghnm70BtOBriLpCs6aPUKQu0ETzNuNQm0JrrIOWKZcrUgc6gS0xFHu56WDwlRRBBVeLQThzaSYV2HU4_l7yUzBl_Td528H6ZWCJbh4OZgJJKucaJS_36gaCc7_2y7BiWrvvdTtK5iW73Ydm9qbyCcgC1yesUD2HRvE0G49ejYgd9AD2XwQM
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=P4SQA%3A+A+P4+Switch-Based+QoS+Assurance+Mechanism+for+SDN&rft.jtitle=IEEE+eTransactions+on+network+and+service+management&rft.au=Wu%2C+Qianqian&rft.au=Liu%2C+Qiang&rft.au=Jia%2C+Zequn&rft.au=Ning+Xin&rft.date=2023-12-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.eissn=1932-4537&rft.volume=20&rft.issue=4&rft.spage=4875&rft_id=info:doi/10.1109%2FTNSM.2023.3280913&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-4537&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-4537&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-4537&client=summon