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author:

Chen, Xiang (Chen, Xiang.) [1] | Liu, Hongyan (Liu, Hongyan.) [2] | Xiao, Qingjiang (Xiao, Qingjiang.) [3] | Huang, Qun (Huang, Qun.) [4] | Zhang, Dong (Zhang, Dong.) [5] | Zhou, Haifeng (Zhou, Haifeng.) [6] | Zhou, Boyang (Zhou, Boyang.) [7] | Wu, Chunming (Wu, Chunming.) [8] | Liu, Xuan (Liu, Xuan.) [9] | Yang, Qiang (Yang, Qiang.) [10]

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EI

Abstract:

Network administrators usually realize network functions in data plane programs. They employ the network-wide program deployment that decomposes input programs into match-action tables (MATs) while deploying each MAT on a specific switch. Since MATs may be deployed on different switches, existing solutions propose the inter-switch coordination that uses the per-packet header space to deliver crucial packet processing information among switches. However, such coordination incurs non-trivial per-packet byte overhead, leading to end-to-end performance degradation. We propose Hermes, a framework that aims to minimize the per-packet byte overhead. The key idea is to formulate network-wide program deployment as a mixed-integer programming (MIP) problem with the objective of minimizing the per-packet byte overhead. Also, Hermes offers a greedy-based heuristic that solves the problem in a near-optimal and timely manner. We have implemented Hermes on Tofino switches. Compared to existing frameworks, Hermes decreases the per-packet byte overhead by 156bytes while preserving end-to-end performance in terms of flow completion time and goodput. © 2024 IEEE.

Keyword:

Integer programming Packet switching

Community:

  • [ 1 ] [Chen, Xiang]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310007, China
  • [ 2 ] [Chen, Xiang]Quan Cheng Laboratory, Jinan; 250021, China
  • [ 3 ] [Liu, Hongyan]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310007, China
  • [ 4 ] [Liu, Hongyan]Quan Cheng Laboratory, Jinan; 250021, China
  • [ 5 ] [Xiao, Qingjiang]Southeast University, School of Cyber Science and Engineering, Nanjing; 210096, China
  • [ 6 ] [Huang, Qun]Peking University, National Key Laboratory for Multimedia Information Processing, School of Computer Science, Beijing; 100871, China
  • [ 7 ] [Zhang, Dong]Fuzhou University, College of Computer and Data Science, Fuzhou; 350108, China
  • [ 8 ] [Zhang, Dong]Zhicheng College, Fuzhou; 350002, China
  • [ 9 ] [Zhou, Haifeng]Zhejiang University, College of Control Science and Engineering, Hangzhou; 310007, China
  • [ 10 ] [Zhou, Boyang]Zhejiang Laboratory, Research Center for High-Productivity Computing Systems, Hangzhou; 311100, China
  • [ 11 ] [Zhou, Boyang]UCAS Hangzhou Institute for Advanced Study, School of Intelligent Science and Technology, Hangzhou; 310024, China
  • [ 12 ] [Wu, Chunming]Zhejiang University, Quan Cheng Laboratory, the College of Computer Science and Technology, Hangzhou; 310007, China
  • [ 13 ] [Liu, Xuan]Yangzhou University, College of Information Engineering (College of Artificial Intelligence), Yangzhou; 225009, China
  • [ 14 ] [Liu, Xuan]Southeast University, School of Computer Science and Engineering, Nanjing; 210096, China
  • [ 15 ] [Yang, Qiang]Zhejiang University, College of Electrical Engineering, Hangzhou; 310007, China

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Source :

ACM Transactions on Networking

ISSN: 1063-6692

Year: 2024

Issue: 4

Volume: 32

Page: 2842-2857

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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