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The Princeton SCENIC Initiative consists of a Research component and a Lab component. It bridges over the theory-practice divide in networking and builds on the combined core of rigor in the answers and relevance in the questions. Through collaboration across many disciplinary boundaries as well as the academia-industry boundary, it constantly re-examines the mathematical crystallization of engineering artifacts in networking.

The research part consists of an evolving set of research projects spanning the modeling, analysis, and design of networks, both technological and human ones, as motivated by social interactions, content sharing, green IT, and wireless healthcare solutions. The motivations come from enabling networked end users with access that is universal, shared, scalable, (economically) sustainable, and (politically) free.

The underlying methodology include distributed optimization, stochastic control, games and economics, graphs and random processes, etc. and the functionalities involved range from power control and scheduling to congestion control and routing, from topology control and distribution to pricing and measuring. The grand challenges in fundamental research include nonconvexity, dynamics, and high dimensionality.

The lab, called the Princeton EDGE Lab, has experimental facilities to provide an edge between the "theory node" and the "systems node" in the networking research community, especially for edge networking. It leverages the lessons and data accumulated through realistic experiments to validate the predictions of theory, falsify the assumptions behind theory, sharpen the characterizations that are loose in theory, and inspire new question formulations in theory. It partners with many systems and deployments in both academia and industry. It builds systems designed by proven theorems, and proves theorems about deployed systems.

Link to Professor Mung Chiang's personal website: www.princeton.edu/~chiangm

About Princeton SCENIC