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.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Software
Cited by
2 articles.
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1. Rise of Community-driven Communication Network Research;Proceedings of the 2023 9th International Conference on Communication and Information Processing;2023-12-14
2. Quantifying the privacy-vs-performance trade-offs for fine-grained wireless network measurement data;Proceedings of the ACM SIGCOMM Workshop on Network-Application Integration;2022-08-22