Macroflows and Microflows: Enabling Rapid Network Innovation through a Split SDN Data Plane

Narayanan, Rajesh; Kotha, Saikrishna; Lin, Geng; Khan, Abdullah; Rizvi, Sajjad; Javed, Wajeeha; Khan, Hassan; Khayam, Syed Ali

doi:10.1109/ewsdn.2012.16

Cited by 40 publications

(16 citation statements)

References 3 publications

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“…As a side effect, this design allows flow tables with more flow table entries. In reference [93], the authors improved the performance of switches by differentiating between coarse-grained and fine-grained flows and by managing both flow classes independently. They showed a significant increase in switching performance and the possibility of handling more flows within a switch, while being fully compliant with OpenFlow 1.0.…”

Section: Performance Of Openflow-based Sdnsmentioning

confidence: 99%

Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices

2014

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We explain the notion of software-defined networking (SDN), whose southbound interface may be implemented by the OpenFlow protocol. We describe the operation of OpenFlow and summarize the features of specification versions 1.0-1.4. We give an overview of existing SDN-based applications grouped by topic areas. Finally, we point out architectural design choices for SDN using OpenFlow and discuss their performance implications.

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Section: Performance Of Openflow-based Sdnsmentioning

confidence: 99%

Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices

2014

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“…SDP platform includes two separate data planes: one macro data plane (PowerConnect 7024) and a micro data plane (Octeon I by Cavium Networks). The connection between macro and micro data plane is a XAUI interface which is capable of 10Gbps [5]. NPU creates a new platform to host applications that may utilize hardware-accelerated encryption, compression, and TCP processing.…”

Section: A Dell Sdp Architecturementioning

confidence: 99%

GENI with a Network Processing Unit: Enriching SDN Application Experiments

Dane

Gurkan

2014

2014 Third GENI Research and Educational Experiment Workshop

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This paper reports the integration of Dell's specialized split data plane (SDP) OpenFlow switch into the GENI testbed. In addition, the paper outlines the research directions in network science and engineering that such a switch may enable together with a new perspective on education in network programming. An SDP switch can be used to perform some specialized processing on flows with special hardware accelerators in addition to hosting any application (running on a Linux OS) that a user may insert on the path of a flow. The SDP switch is composed of a Dell switch (PowerConnect 7024) with an internal physical connection to a sub-unit, Network Processor Unit (NPU), by Cavium Networks. Hosting an OpenvSwitch on the NPU with open hosting of Linux applications enables software-defined networking experiments. The integration challenges/process associated with this unit is presented as a future reference to other such foreign box integrations.

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“…Since this type of memory is expensive and it consumes significant amounts of power [3], it becomes costly to build and deploy forwarding 978-1-4673-9486-4/16/$31.00 ©2016 IEEE devices that can store a large number of OF rules. This further limits the adoption of OF-based SDN for environments where there is a large volume of traffic flows that must be processed (e.g.…”

Section: A Of-based Sdn Architecturementioning

confidence: 99%

Dynamic aggregation of traffic flows in SDN: Applied to backhaul networks

Mimidis¹,

Caba²,

Soler³

2016

2016 IEEE NetSoft Conference and Workshops (NetSoft)

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Abstract-A challenge in the adoption of the OpenFlow (OF)-based SDN paradigm is related to the limited number of OF rules supported by the network devices. The technology used to implement the OF rules is TCAM, which is expensive and power demanding. Due to this, the network devices are either very costly or they can support a very limited number of OF rules. One way to cope with this limitation, is to perform the same logic but with fewer OF rules in the devices. As a demonstration of this operational strategy, the current paper proposes a service for traffic flow aggregation which reduces the number of OF rules needed in the network devices, without impacting the control plane logic. The proposed traffic flow aggregation service is tested on a set of topologies specific to the backhaul network, since they aggregate a large amount of traffic flows. The results illustrate significant reductions in the number of OF rules in network devices, thus a lower demand on TCAM capacity.

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Macroflows and Microflows: Enabling Rapid Network Innovation through a Split SDN Data Plane

Cited by 40 publications

References 3 publications

Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices

Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices

GENI with a Network Processing Unit: Enriching SDN Application Experiments

Dynamic aggregation of traffic flows in SDN: Applied to backhaul networks

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