short-paper

Reflections on Data Integration for SDN

Authors:

Eduard DragutAuthors Info & Claims

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

Pages 65 - 68

https://doi.org/10.1145/3040992.3041006

Published: 24 March 2017 Publication History

Abstract

Software-defined networking (SDN) provides an unprecedented opportunity to exercise computing principles in networking practice. This paper investigates data integration, a under-explored discipline from the database community. We propose to manage the various SDN control applications that collectively drive a shared dataplane using a data integration system. First, we develop a baseline design and study its feasibility on two networking challenges not adequately addressed in classic data integration systems: the extensibility requirement to add new controls on demand, and the performance requirement to cope with fast dataplane updates. Central to our baseline design is a relational model, where the entire SDN is represented as relational data (values in tables) with distinct roles. The control applications act as data sources generating network state, and the dataplane becomes the integrated whole. Based on this model, we explore extensions to data integration systems called behavioral dependency, a formal notion that captures the dynamic interactions between the control applications. While our design and extension are not intended to provide a comprehensive solution, we believe our study is a step toward reaping the benefits of data integration for SDN.

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Cited By

Alnaim AFernandez E(2024)A Security Pattern for Software-Defined NetworksProceedings of the 29th European Conference on Pattern Languages of Programs, People, and Practices10.1145/3698322.3698355(1-6)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3698322.3698355

Index Terms

Reflections on Data Integration for SDN
1. Networks
  1. Network services
    1. Network management

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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.

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

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Publication History

Published: 24 March 2017

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CODASPY '17

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SIGSAC

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

Alnaim AFernandez E(2024)A Security Pattern for Software-Defined NetworksProceedings of the 29th European Conference on Pattern Languages of Programs, People, and Practices10.1145/3698322.3698355(1-6)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3698322.3698355

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