Software Defined Networking
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This progress report summarizes work on a final year project focusing on load balancing in data center networks using software defined networking. The report outlines the need for new networking paradigms to handle changing traffic patterns. It discusses SDN and how it separates the control plane from the forwarding plane. The work done so far includes experimenting with SDN controllers and traffic patterns in a virtualized fat tree network topology. Next steps are to develop an automated traffic generation tool and evaluate different controller options.
Software Defined Networking
- 1. PROGRESS REPORT FOR FINAL YEAR PROJECT BROAD AREA: SOFTWARE DEFINED NETWORKING SPECIFIC FOCUS: LOAD BALANCING IN DATA CENTRE NETWORK By: Aditya Shukla, Anshuman Singh Guide: Mr. Nabajyoti Medhi
- 2. Outline Focus Need for a new Network Paradigm Limitations of Current Networking Technology Basics of SDN Work done Next steps References
- 3. Need for a new Network Paradigm Changing traffic patterns The “consumerization of IT” The rise of cloud services Big data means more bandwidth
- 4. Limitations of current network: Complexity that leads to stasis Inconsistent Policies Inability to scale Vendor dependence
- 5. What is SDN ? Definition : The physical separation of the network control plane from the forwarding plane, and where a control plane controls several devices. SDN is a step in the evolution towards active and programmable networking. SDN allows network administrators to have programmable central control of network traffic via a controller without requiring physical access to the network's switches.
- 6. Communication between both planes: Openflow: OpenFlow is a programmable network protocol and associated hardware designed to effectively manage and direct traffic by decoupling control and forwarding layers of routing. The OpenFlow protocol enables globally-aware software controllers, which may be centralized or distributed, to drive the network edge hardware in order to create an easily programmable identity-based overlay on top of the traditional IP core.
- 7. Focus To design a mechanism using which we could load balance traffic in data centre network.
- 8. Work done Hands-on practice in Network Virtualization tool: Mininet & some tools which comes with it like: Wireshark: Packet analyser Iperf: Data throughput analyser Learned how to operate Floodlight controller remotely & to connect it with a virtual network.
- 9. Work done Experimented with different combinations of legacy & openflow switches in fat tree network to figure out best possible combination for efficiently handling data traffic. Fat tree Network : is a popular data center network topology. It is typically a 3-layer hierarchical tree that consists of switches on the core, aggregation and top-of-rack(ToR) layers. The hosts connect to the switches on the ToR layer.
- 10. Work done
- 11. Work done
- 12. Next Steps We are now trying to develop a module for iperf open source tool so as to generate traffic between all possible pairs of hosts automatically. To try different types of controllers on the same fat tree network so as to figure out most suitable one for efficiently handling the traffic.
- 13. References ●Software Defined Networking- The new norm in Networks https://www.opennetworking.org/images/stories/downloads/sdn-resources/white-papers/wp-sdn-newnorm. pdf ●About Openflow http://archive.openflow.org/wk/index.php/OpenFlow_Tutorial ●Mininet tutorial http://mininet.org/walkthrough/
Editor's Notes
- #6: Decoupling Extract out control from devices. Network intelligence kept at a place . One logic entity. Abstraction of underlying network provided to applications. Simplifies. Programmability Real time behavior change Open API between planes. SDN makes network “applicationcustomized rather than application aware. And makes application network capability aware.
- #7: Both side of interface. Allows network to be programmed per flow basis so more granular control.