Maestro: A System for Scalable OpenFlow Control

dc.contributor.authorCai, Zhengen_US
dc.contributor.authorCox, Alan L.en_US
dc.contributor.authorNg, T. S. Eugeneen_US
dc.date.accessioned2017-08-02T22:03:08Zen_US
dc.date.available2017-08-02T22:03:08Zen_US
dc.date.issued2010-12-04en_US
dc.date.noteDecember 4, 2010en_US
dc.description.abstractThe 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.en_US
dc.format.extent10 ppen_US
dc.identifier.citationCai, Zheng, Cox, Alan L. and Ng, T. S. Eugene. "Maestro: A System for Scalable OpenFlow Control." (2010) https://hdl.handle.net/1911/96391.en_US
dc.identifier.digitalTR10-11en_US
dc.identifier.urihttps://hdl.handle.net/1911/96391en_US
dc.language.isoengen_US
dc.rightsYou 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).en_US
dc.titleMaestro: A System for Scalable OpenFlow Controlen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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