Data-driven networking research

IF 2.2 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

ACM Sigcomm Computer Communication Review Pub Date : 2021-10-24 DOI:10.1145/3503954.3503960

J. Mogul, Priya Mahadevan, C. Diot, J. Wilkes, Phillipa Gill, A. Vahdat

引用次数: 1

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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数据驱动的网络研究

我们谷歌的各种网络团队希望增加与数据驱动网络研究相关的学术研究人员的合作。在我们直接共享数据的能力上有一些重要的限制，这在学术界并不总是被广泛理解;本文档提供了一个简要的总结。我们描述了一些可以工作的模型——主要是实习生和访问科学家作为临时雇员工作，这简化了一些保密和隐私问题的处理。我们描述了一些具体的领域，我们欢迎在这些模型内工作的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Sigcomm Computer Communication Review 工程技术-计算机：信息系统

CiteScore

6.90

自引率

3.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Computer Communication Review (CCR) is an online publication of the ACM Special Interest Group on Data Communication (SIGCOMM) and publishes articles on topics within the SIG''s field of interest. Technical papers accepted to CCR typically report on practical advances or the practical applications of theoretical advances. CCR serves as a forum for interesting and novel ideas at an early stage in their development. The focus is on timely dissemination of new ideas that may help trigger additional investigations. While the innovation and timeliness are the major criteria for its acceptance, technical robustness and readability will also be considered in the review process. We particularly encourage papers with early evaluation or feasibility studies.