TY - GEN
T1 - Ravana
T2 - 1st ACM SIGCOMM Symposium on Software Defined Networking Research, SOSR 2015
AU - Katta, Naga
AU - Zhang, Haoyu
AU - Freedman, Michael Joseph
AU - Rexford, Jennifer L.
N1 - Publisher Copyright:
Copyright 2015 ACM.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - Software-defined networking (SDN) offers greater flexibility than traditional distributed architectures, at the risk of the controller being a single point-of-failure. Unfortunately, existing fault-tolerance techniques, such as replicated state machine, are insufficient to ensure correct network behavior under controller failures. The challenge is that, in addition to the application state of the controllers, the switches maintain hard state that must be handled consistently. Thus, it is necessary to incorporate switch state into the system model to correctly offer a "logically centralized" controller. We introduce Ravana, a fault-tolerant SDN controller platform that processes the control messages transactionally and exactly once (at both the controllers and the switches). Ravana maintains these guarantees in the face of both controller and switch crashes. The key insight in Ravana is that replicated state machines can be extended with lightweight switch-side mechanisms to guarantee correctness, without involving the switches in an elaborate consensus protocol. Our prototype implementation of Ravana enables unmodified controller applications to execute in a fault-tolerant fashion. Experiments show that Ravana achieves high throughput with reasonable overhead, compared to a single controller, with a failover time under 100ms.
AB - Software-defined networking (SDN) offers greater flexibility than traditional distributed architectures, at the risk of the controller being a single point-of-failure. Unfortunately, existing fault-tolerance techniques, such as replicated state machine, are insufficient to ensure correct network behavior under controller failures. The challenge is that, in addition to the application state of the controllers, the switches maintain hard state that must be handled consistently. Thus, it is necessary to incorporate switch state into the system model to correctly offer a "logically centralized" controller. We introduce Ravana, a fault-tolerant SDN controller platform that processes the control messages transactionally and exactly once (at both the controllers and the switches). Ravana maintains these guarantees in the face of both controller and switch crashes. The key insight in Ravana is that replicated state machines can be extended with lightweight switch-side mechanisms to guarantee correctness, without involving the switches in an elaborate consensus protocol. Our prototype implementation of Ravana enables unmodified controller applications to execute in a fault-tolerant fashion. Experiments show that Ravana achieves high throughput with reasonable overhead, compared to a single controller, with a failover time under 100ms.
KW - Fault-Tolerance
KW - OpenFlow
KW - Replicated State Machines
KW - Software-Defined Networking
UR - http://www.scopus.com/inward/record.url?scp=84962128867&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962128867&partnerID=8YFLogxK
U2 - 10.1145/2774993.2774996
DO - 10.1145/2774993.2774996
M3 - Conference contribution
AN - SCOPUS:84962128867
T3 - Symposium on Software Defined Networking (SDN) Research, SOSR 2015
BT - Symposium on Software Defined Networking (SDN) Research, SOSR 2015
PB - Association for Computing Machinery, Inc
Y2 - 17 June 2015 through 18 June 2015
ER -