Nate Foster is an Associate Professor of Computer Science at Cornell University. The primary goal of his research is to develop languages and tools that make it easy for programmers to build secure and reliable systems. Professor Foster’s current work focuses on the design and implementation of domain-specific programming languages for software-defined networks. In the past, he has worked on bidirectional languages (also known as “lenses”), database query languages, data provenance, type systems, mechanized proof, and formal semantics. Professor Foster received a Ph.D. in Computer Science from the University of Pennsylvania, an MPhil in History and Philosophy of Science from Cambridge University, and a B.A. in Computer Science from Williams College. His awards include a Sloan Research Fellowship, an NSF CAREER Award, a Most Influential POPL Paper Award, a Tien ’72 Teaching Award, a Cornell Engineering Research Excellence Award, two Google Research Awards, a Yahoo! Academic Career Enhancement Award, and the Morris and Dorothy Rubinoff Award.
Optimizing the Flow of Data Through Your Network Using SDNCornell Course
Course Overview
To deliver on service-level agreements, networking professionals know they must continuously manage and optimize their networks. An SDN-enabled network can be managed through software, making network optimization more efficient, flexible, and granular. In this course, you will use SDN to optimize the flow of data through a network. You will identify how network paths affect performance and use SDN to implement optimal traffic engineering. Finally, you will examine operational considerations for SDN-based traffic engineering. The knowledge and skills you gain will help you leverage SDN to ensure network traffic flows as efficiently as possible from one network node to another.
You are required to have completed the following course or have equivalent experience before taking this course:
- Building Your First Software-Defined Network
Key Course Takeaways
- Identify how network paths affect performance
- Implement optimal traffic engineering with SDN
- Examine operational considerations for SDN-based traffic engineering
How It Works
Course Authors
Mina Tahmasbi Arashloo is a postdoctoral researcher working with Professors Nate Foster and Rachit Agarwa in the computer science department at Cornell University. Dr. Arashloo received her Ph.D. in computer science from Princeton University, where she was honored to have Professor Jennifer Rexford as her advisor. Prior to Princeton, she earned her B.Sc. degree in Computer Engineering from the Department of Computer Engineering at Sharif University of Technology, Iran. Dr. Arashloo’s research is primarily focused on networked systems, with an emphasis on software-defined networking (SDN) and programmable data planes. She has recently been focusing on how to exploit programmability to create networks that are verifiably robust across the stack, from the protocols themselves down to the switch and network interface card (NIC) hardware that processes packets.
Who Should Enroll
- Network administrators and architects
- Network engineers and operators
- Aspiring SDN engineers
- Enterprise network system installers
- System administrators and integrators
- Solutions designers
- DevOps teams
- NFV technologists
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