Generating consistent updates for software-defined network configurations

Yifei Yuan, Franjo Ivančić, Cristian Lumezanu, Shuyuan Zhang, Aarti Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper addresses the problem of consistently updating network configurations in a software-defined network. We are interested in generating an update sequence ordering that guarantees per-packet consistency. We present a procedure that computes a safe update sequence by generating an add-before rule dependency graph. Nodes in the graph correspond to rules to be installed and edges capture dependency relations among them.

Original languageEnglish (US)
Title of host publicationHotSDN 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking
PublisherAssociation for Computing Machinery
Pages221-222
Number of pages2
ISBN (Print)9781450329897
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event3rd ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking, HotSDN 2014 - Chicago, IL, United States
Duration: Aug 22 2014Aug 22 2014

Publication series

NameHotSDN 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking

Other

Other3rd ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking, HotSDN 2014
CountryUnited States
CityChicago, IL
Period8/22/148/22/14

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

Cite this

Yuan, Y., Ivančić, F., Lumezanu, C., Zhang, S., & Gupta, A. (2014). Generating consistent updates for software-defined network configurations. In HotSDN 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking (pp. 221-222). (HotSDN 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking). Association for Computing Machinery. https://doi.org/10.1145/2620728.2620774