Fast failure detection and recovery in SDN with stateful data plane. Issue 2 (22nd November 2016)
- Record Type:
- Journal Article
- Title:
- Fast failure detection and recovery in SDN with stateful data plane. Issue 2 (22nd November 2016)
- Main Title:
- Fast failure detection and recovery in SDN with stateful data plane
- Authors:
- Cascone, Carmelo
Sanvito, Davide
Pollini, Luca
Capone, Antonio
Sansò, Brunilde
De Turck, Filip
Kang, Joon‐Myung
Choo, Hyunseung
Kim, Myung‐Sup
Choi, Baek‐Young
Badonnel, Remi
Hong, James Won‐Ki - Abstract:
- SUMMARY: When dealing with node or link failures in software‐defined networking (SDN), the network capability to establish an alternative path depends on controller reachability and on the round‐trip times between controller and involved switches. Moreover, current SDN data plane abstractions for failure detection, such as OpenFlow "Fast‐failover, " do not allow programmers to tweak switches' detection mechanism, thus leaving SDN operators relying on proprietary management interfaces (when available) to achieve guaranteed detection and recovery delays. We propose SPIDER, an OpenFlow‐like pipeline design that provides (i) a detection mechanism based on switches' periodic link probing and (ii) fast reroute of traffic flows even in the case of distant failures, regardless of controller availability. SPIDER is based on stateful data plane abstractions such as OpenState or P4, and it offers guaranteed short (few milliseconds or less) failure detection and recovery delays, with a configurable trade‐off between overhead and failover responsiveness. We present here the SPIDER pipeline design, behavioral model, and analysis on flow tables' memory impact. We also implemented and experimentally validated SPIDER using OpenState (an OpenFlow 1.3 extension for stateful packet processing) and P4, showing numerical results on its performance in terms of recovery latency and packet loss. Abstract : We present SPIDER, a design for a packet forwarding pipeline to perform sub‐millisecondSUMMARY: When dealing with node or link failures in software‐defined networking (SDN), the network capability to establish an alternative path depends on controller reachability and on the round‐trip times between controller and involved switches. Moreover, current SDN data plane abstractions for failure detection, such as OpenFlow "Fast‐failover, " do not allow programmers to tweak switches' detection mechanism, thus leaving SDN operators relying on proprietary management interfaces (when available) to achieve guaranteed detection and recovery delays. We propose SPIDER, an OpenFlow‐like pipeline design that provides (i) a detection mechanism based on switches' periodic link probing and (ii) fast reroute of traffic flows even in the case of distant failures, regardless of controller availability. SPIDER is based on stateful data plane abstractions such as OpenState or P4, and it offers guaranteed short (few milliseconds or less) failure detection and recovery delays, with a configurable trade‐off between overhead and failover responsiveness. We present here the SPIDER pipeline design, behavioral model, and analysis on flow tables' memory impact. We also implemented and experimentally validated SPIDER using OpenState (an OpenFlow 1.3 extension for stateful packet processing) and P4, showing numerical results on its performance in terms of recovery latency and packet loss. Abstract : We present SPIDER, a design for a packet forwarding pipeline to perform sub‐millisecond failure detection and rerouting directly in the switch fast‐path, ie, without requiring the intervention of the slow control plane. SPIDER is based on recent advances in stateful data plane abstractions for software‐defined networking, such as OpenState or P4. We present prototype implementations and numerical results on switches' memory impact and performances in recovery latency and packet loss. … (more)
- Is Part Of:
- International journal of network management. Volume 27:Issue 2(2017)
- Journal:
- International journal of network management
- Issue:
- Volume 27:Issue 2(2017)
- Issue Display:
- Volume 27, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 27
- Issue:
- 2
- Issue Sort Value:
- 2017-0027-0002-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2016-11-22
- Subjects:
- Computer networks -- Management -- Periodicals
004.6 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1190 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/nem.1957 ↗
- Languages:
- English
- ISSNs:
- 1055-7148
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.373300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1406.xml