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

被引：0

作者：

Mogul J.C. ^{[1
]}

Mahadevan P. ^{[1
]}

Diot C. ^{[1
]}

Wilkes J. ^{[1
]}

Gill P. ^{[1
]}

Vahdat A. ^{[1
]}

机构：

[1] Google

来源：

Computer Communication Review | 2021年 / 51卷 / 04期

关键词：

network data; research collaboration;

D O I：

10.1145/3503954.3503960

中图分类号：

学科分类号：

摘要：

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. © 2021 Copyright is held by the owner/author(s).

引用

页码：47 / 49

页数：2

共 9 条

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