Amaru: plug&play resilient in-band control for SDN
Author
López Pajares, DiegoIdentifiers
Enlace permanente (URI): http://hdl.handle.net/10017/48067DOI: 10.1109/ACCESS.2019.2937528
ISSN: 2169-3536
Publisher
IEEE
Date
2019-08-26Patrocinadores
Comunidad de Madrid
Universidad de Alcalá
Cita bibliográfica
López Pajares, D., Álvarez Horcajo, J., Rojas, E., Asadujjaman, A.S.M. & Martínez Yelmo, I. 2019, “Amaru: plug&play resilient in-band control for SDN”, IEEE Access, vol. 7, pp. 123202-123218.
Palabras clave
SDN
OpenFlow
In-band control
Resilient networks
Path exploration
Proyecto
TAPIR-CM / S2018/TCS-4496 (Comunidad de Madrid)
CCG2018-EXP/076 (Universidad de Alcala)
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Versión del editor
https://doi.org/10.1109/ACCESS.2019.2937528Derechos
Attribution 4.0 International (CC BY 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Abstract
Software-Defined Networking (SDN) is a pillar of next-generation networks. ImplementingSDN requires the establishment of a decoupled control communication, which might be installed either as anout-of-band or in-band network. While the benefits of in-band control networks seem apparent, no standardprotocol exists and most of setups are based on ad-hoc solutions. This article defines Amaru, a protocolthat provides plug&play resilient in-band control for SDN with low-complexity and high scalability. Amarufollows an exploration mechanism to find all possible paths between the controller and any node of thenetwork, which drastically reduces convergence time and exchanged messages, while increasing robustness.Routing is based on masked MAC addresses, which also simplifies routing tables, minimizing the numberof entries to one per path, independently of the network size. We evaluated Amaru with three differentimplementations and diverse types of networks and failures, and obtained excellent results, providing almoston-the-fly rerouting and low recovery time.
Files in this item
Files | Size | Format |
|
---|---|---|---|
Amaru_Lopez_IEEE_Access_2019.pdf | 7.563Mb |
![]() |
Files | Size | Format |
|
---|---|---|---|
Amaru_Lopez_IEEE_Access_2019.pdf | 7.563Mb |
![]() |