Data-driven networking research: models for academic collaboration with industry (a Google point of view)

Jeffrey C. Mogul, Priya Mahadevan, Christophe Diot, John Wilkes, Phillipa Gill, Amin Vahdat

Abstract

We in Google’s various networking teams would like to increase our collaborations with academic researchers related to data-driven networking research. There are some significant constraints on our ability to directly share data, which are not always widely-understood in the academic community; this document provides a brief summary. We describe some models which¬†can¬†work – primarily, interns and visiting scientists working temporarily as employees, which simplifies the handling of some confidentiality and privacy issues. We describe some specific areas where we would welcome proposals to work within those models.

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