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author:

Liu, H. (Liu, H..) [1] | Chen, X. (Chen, X..) [2] | Huang, Q. (Huang, Q..) [3] | Sun, G. (Sun, G..) [4] | Wang, P. (Wang, P..) [5] | Zhang, D. (Zhang, D..) [6] | Wu, C. (Wu, C..) [7] | Liu, X. (Liu, X..) [8] | Yang, Q. (Yang, Q..) [9]

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Abstract:

Programmable switches allow administrators to customize packet processing behaviors in data plane programs. However, existing solutions for program deployment fail to achieve resource efficiency and high packet processing performance. In this paper, we propose, a system that provides resource-efficient and high-performance deployment for data plane programs. For resource efficiency, merges input data plane programs by reducing program redundancy. Then it abstracts the substrate network into an one big switch (OBS), and deploys the merged program on the OBS while minimizing resource usage. For high performance, searches for the performance-optimal mapping between the OBS and the substrate network with respect to network-wide constraints. It also maintains program logic among different switches via inter-device packet scheduling. We have implemented on a Barefoot Tofino switch. The evaluation indicates that achieves resource-efficient and high-performance deployment for real data plane programs. IEEE

Keyword:

Compounds Data plane programs Logic packet processing performance Performance evaluation program deployment programmable networks Random access memory Redundancy resource efficiency Substrates Task analysis

Community:

  • [ 1 ] [Liu H.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 2 ] [Chen X.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 3 ] [Huang Q.]School of Electronics Engineering and Computer Science, Peking University, Beijing, China
  • [ 4 ] [Sun G.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 5 ] [Wang P.]College of Computer Science and Big Data, Fuzhou University, Fuzhou, China
  • [ 6 ] [Zhang D.]College of Computer Science and Big Data, Fuzhou University, Fuzhou, China
  • [ 7 ] [Wu C.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 8 ] [Liu X.]College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, China
  • [ 9 ] [Yang Q.]College of Electrical Engineering, Zhejiang University, Hangzhou, China

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Source :

ACM Transactions on Networking

ISSN: 1063-6692

Year: 2024

Issue: 5

Volume: 32

Page: 1-16

3 . 0 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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