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dc.contributor.authorCai, Zheng
Cox, Alan L.
Ng, T. S. Eugene
dc.date.accessioned 2017-08-02T22:03:08Z
dc.date.available 2017-08-02T22:03:08Z
dc.date.issued 2010-12-04
dc.identifier.urihttps://hdl.handle.net/1911/96391
dc.description.abstract The fundamental feature of an OpenFlow network is that the controller is responsible for the initial establishment of every flow by contacting related switches. Thus the performance of the controller could be a bottleneck. This paper shows how this fundamental problem is addressed by parallelism. The state of the art OpenFlow controller, called NOX, achieves a simple programming model for control function development by having a single-threaded event-loop. Yet NOX has not considered exploiting parallelism. We propose Maestro which keeps the simple programming model for programmers, and exploits parallelism in every corner together with additional throughput optimization techniques. We experimentally show that the throughput of Maestro can achieve near linear scalability on an eight core server machine.
dc.format.extent 10 pp
dc.language.iso eng
dc.rights You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
dc.title Maestro: A System for Scalable OpenFlow Control
dc.type Technical report
dc.date.note December 4, 2010
dc.identifier.digital TR10-11
dc.type.dcmi Text
dc.identifier.citation Cai, Zheng, Cox, Alan L. and Ng, T. S. Eugene. "Maestro: A System for Scalable OpenFlow Control." (2010) https://hdl.handle.net/1911/96391.


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