Designing Scalable Networks for Future Large Datacenters

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dc.contributor.advisorCox, Alan L.
dc.contributor.committeeMemberRixner, Scott
dc.contributor.committeeMemberNg, T. S. Eugene
dc.contributor.committeeMemberCarter, John
dc.creatorStephens, Brent
dc.date.accessioned2012-09-06T04:44:07Z
dc.date.accessioned2012-09-06T04:44:10Z
dc.date.available2012-09-06T04:44:07Z
dc.date.available2012-09-06T04:44:10Z
dc.date.created2012-05
dc.date.issued2012-09-05
dc.date.submittedMay 2012
dc.date.updated2012-09-06T04:44:10Z
dc.description.abstractModern datacenters require a network with high cross-section bandwidth, fine-grained security, support for virtualization, and simple management that can scale to hundreds of thousands of hosts at low cost. This thesis first presents the firmware for Rain Man, a novel datacenter network architecture that meets these requirements, and then performs a general scalability study of the design space. The firmware for Rain Man, a scalable Software-Defined Networking architecture, employs novel algorithms and uses previously unused forwarding hardware. This allows Rain Man to scale at high performance to networks of forty thousand hosts on arbitrary network topologies. In the general scalability study of the design space of SDN architectures, this thesis identifies three different architectural dimensions common among the networks: source versus hop-by-hop routing, the granularity at which flows are routed, and arbitrary versus restrictive routing and finds that a source-routed, host-pair granularity network with arbitrary routes is the most scalable.
dc.format.mimetypeapplication/pdf
dc.identifier.citationStephens, Brent. "Designing Scalable Networks for Future Large Datacenters." (2012) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/64706">https://hdl.handle.net/1911/64706</a>.
dc.identifier.slug123456789/ETD-2012-05-182
dc.identifier.urihttps://hdl.handle.net/1911/64706
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectComputer science
dc.subjectComputer engineering
dc.subjectNetwork architecture
dc.subjectDatacenter networking
dc.subjectSoftware-defined networking
dc.titleDesigning Scalable Networks for Future Large Datacenters
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputer Science
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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