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....

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Vydáno v:	IEEE eTransactions on network and service management Ročník 20; číslo 4; s. 1
Hlavní autoři:	Wu, Qianqian, Liu, Qiang, Jia, Zequn, Xin, Ning, Chen, Te
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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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
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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
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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
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