research-article

Enabling SDN Experimentation in Network Testbeds

Authors:

Sivaramakrishnan S R,

Jelena Mikovic,

Pravein G. Kannan,

Chan Mun Choon,

Keith SklowerAuthors Info & Claims

SDN-NFVSec '17: Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization

Pages 7 - 12

https://doi.org/10.1145/3040992.3040996

Published: 24 March 2017 Publication History

Abstract

Software-defined networking (SDN) has become a popular technology, being adopted in operational networks and being a hot research topic. Many network testbeds today are used to test new research solutions and would benefit from offering SDN experimentation capabilities to their users. Yet, exposing SDN to experimenters is challenging because experiments must be isolated from each other and limited switch resources must be shared fairly. We outline three different approaches for exposing SDN to experimenters while achieving isolation and fair sharing goals. These solutions use software implementation, shared hardware switches and smart network interface cards to implement SDN in testbeds. These approaches are under development on two operational SDN testbeds: the DeterLab at USC/ISI/Berkeley and the NCL testbed at the National University of Singapore.

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Cited By

Mahi MChaki SAhmed SBiswas MKaiser MIslam MSookhak MBarros AWhaiduzzaman M(2022)A Review on VANET Research: Perspective of Recent Emerging TechnologiesIEEE Access10.1109/ACCESS.2022.318360510(65760-65783)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3183605
Wu XYang QLiu XJin DLee C(2017)A hardware-in-the-loop emulation testbed for high fidelity and reproducible network experimentsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242209(1-11)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242209

Index Terms

Enabling SDN Experimentation in Network Testbeds
1. Security and privacy
  1. Intrusion/anomaly detection and malware mitigation

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cover image ACM Conferences

SDN-NFVSec '17: Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization

March 2017

80 pages

ISBN:9781450349086

DOI:10.1145/3040992

General Chairs:
Gail-Joon Ahn
Arizona State University, USA
,
Guofei Gu
Texas A&M University, USA
,
Program Chairs:
Hongxin Hu
Clemson University, USA
,
Seungwon Shin
KAIST, Korea

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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New York, NY, United States

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Published: 24 March 2017

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CODASPY '17

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CODASPY '17: Seventh ACM Conference on Data and Application Security and Privacy

March 24, 2017

Arizona, Scottsdale, USA

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SDN-NFVSec '17 Paper Acceptance Rate 4 of 10 submissions, 40%;

Overall Acceptance Rate 11 of 30 submissions, 37%

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Cited By

Mahi MChaki SAhmed SBiswas MKaiser MIslam MSookhak MBarros AWhaiduzzaman M(2022)A Review on VANET Research: Perspective of Recent Emerging TechnologiesIEEE Access10.1109/ACCESS.2022.318360510(65760-65783)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3183605
Wu XYang QLiu XJin DLee C(2017)A hardware-in-the-loop emulation testbed for high fidelity and reproducible network experimentsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242209(1-11)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242209

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