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.
Getting Visibility Into Network Conditions Using SDNCornell Course
Course Overview
To make critical decisions for their teams and clients, networking professionals need real-time data to understand how their network is functioning. Using SDN, you can capture real-time data and integrate it into a network's control plane to enable network automation and efficient scaling. In this course, you will gain the skills you need to understand a network's status. You will use SDN to get visibility into a network and detect changes in network conditions. In addition, you will implement network telemetry with SDN. Finally, you will explore how to integrate monitoring data into the control loop. With these skills, you can better understand how to assess the status of a network and apply these teachings to your projects.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Building Your First Software-Defined Network
- Optimizing the Flow of Data Through Your Network Using SDN
Key Course Takeaways
- Detect changes in network conditions
- Implement network telemetry with SDN
- Integrate monitoring data into the control loop
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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