Experience-driven research on programmable networks

Author:

Kim Hyojoon1,Chen Xiaoqi1,Brassil Jack1,Rexford Jennifer1

Affiliation:

1. Princeton University

Abstract

Many promising networking research ideas in programmable networks never see the light of day. Yet, deploying research prototypes in production networks can help validate research ideas, improve them with faster feedback, uncover new research questions, and also ease the subsequent transition to practice. In this paper, we show how researchers can run and validate their research ideas in their own backyards---on their production campus networks---and we have seen that such a demonstrator can expedite the deployment of a research idea in practice to solve real network operation problems. We present P4Campus , a proof-of-concept that encompasses tools, an infrastructure design, strategies, and best practices---both technical and non-technical---that can help researchers run experiments against their programmable network idea in their own network. We use network tapping devices, packet brokers, and commodity programmable switches to enable running experiments to evaluate research ideas on a production campus network. We present several compelling data-plane applications as use cases that run on our campus and solve production network problems. By sharing our experiences and open-sourcing our P4 apps [28], we hope to encourage similar efforts on other campuses.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference42 articles.

1. Designing heavy-hitter detection algorithms for programmable switches;Basat R. B.;IEEE/ACM Transactions on Networking,2020

2. T. Benson A. Akella and D. A. Maltz. Data set for IMC 2010 data center measurement. http://pages.cs.wisc.edu/~tbenson/IMC10_Data.html 2010. T. Benson A. Akella and D. A. Maltz. Data set for IMC 2010 data center measurement. http://pages.cs.wisc.edu/~tbenson/IMC10_Data.html 2010.

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on network simulators, emulators, and testbeds used for research and education;Computer Networks;2023-12

2. P4Tune: Enabling Programmability in Non-Programmable Networks;IEEE Communications Magazine;2023-06

3. Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

4. Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

5. Deep learning for SDN-enabled campus networks: proposed solutions, challenges and future directions;International Journal of Intelligent Computing and Cybernetics;2023-03-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3