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Software Defined Networking

Course Summary

In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.


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    Course Syllabus

    This course will cover 8 modules (one per week).Module 1: History and evolution of SDNModule 2: Control and data plane separationModule 3: Control PlaneModule 4: Network VirtualizationModule 5: Data PlaneModule 6: Programming SDNsModules 7: Verification and DebuggingModule 8: Use Cases and Looking Forward

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    Recommended Background

    Students should have taken at least an undergraduate-level networking course and have programming experience in Python.  Experience with virtual machines and other virtual networking environments may also be useful.

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    Course Format

    The course will consist of a series of video lectures, each about 10 minutes in length. Assignments for the course are lab-based programming assignments, many of which build off of the Mininet software developed at Stanford University, which can run SDNs in emulated environments on networks of virtual machines.  

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    Suggested Reading

    There are some useful videos available online; these might be a good starting point for many people:
     

    •  Prof. Nick McKeown, Stanford
      "How SDN will Shape Networking"
    •  Prof. Scott Shenker, Berkeley:
      "An attempt to motivate and clarify Software-Defined Networking (SDN)"
      (watch the first 35 minutes or so)

    You may find the additional reading useful for introductory material:


    •   OpenFlow: Basic description of OpenFlow
    •   Open Networking Foundation: For recent OpenFlow specifications, etc.
    •   Mininet: Environment that allows you to emulate OpenFlow networks on a laptop.


Course Fee:
Free

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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