Change search
ReferencesLink to record
Permanent link

Direct link
Automatic Failure Recovery for Software-Defined Networks
Show others and affiliations
2013 (English)In: Proceedings of the ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN), Association for Computing Machinery (ACM), 2013, -160 p.Conference paper, Poster (Refereed)
Abstract [en]

Tolerating and recovering from link and switch failures are fundamental requirements of most networks, including Software-Defined Networks (SDNs). However, instead of traditional behaviors such as network-wide routing reconvergence, failure recovery in an SDN is determined by the specific software logic running at the controller. While this admits more freedom to respond to a failure event, it ultimately means that each controller application must include its own recovery logic, which makes the code more difficult to write and potentially more error-prone. In this paper, we propose a runtime system that automates failure recovery and enables network developers to write simpler, failure-agnostic code. To this end, upon detecting a failure, our approach first spawns a new controller instance that runs in an emulated environment consisting of the network topology excluding the failed elements. Then, it quickly replays inputs observed by the controller before the failure occurred, leading the emulated network into the forwarding state that accounts for the failed elements. Finally, it recovers the network by installing the difference ruleset between emulated and current forwarding states.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2013. -160 p.
Keyword [en]
Network operating systems, reliability, availability, serviceability
National Category
Computer Science
URN: urn:nbn:se:kth:diva-147117OAI: diva2:727730
The ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN),

QC 20140704

Available from: 2014-06-23 Created: 2014-06-23 Last updated: 2014-07-04Bibliographically approved

Open Access in DiVA

fulltext(297 kB)32 downloads
File information
File name FULLTEXT01.pdfFile size 297 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Conference website

Search in DiVA

By author/editor
Kostic, Dejan
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 32 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 325 hits
ReferencesLink to record
Permanent link

Direct link