{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T17:47:02Z","timestamp":1769017622177,"version":"3.49.0"},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2021,10,24]],"date-time":"2021-10-24T00:00:00Z","timestamp":1635033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGCOMM Comput. Commun. Rev."],"published-print":{"date-parts":[[2021,10,24]]},"abstract":"<jats:p>\n            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\n            <jats:italic>can<\/jats:italic>\n            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.\n          <\/jats:p>","DOI":"10.1145\/3503954.3503960","type":"journal-article","created":{"date-parts":[[2021,12,3]],"date-time":"2021-12-03T22:23:38Z","timestamp":1638570218000},"page":"47-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Data-driven networking research"],"prefix":"10.1145","volume":"51","author":[{"given":"Jeffrey C.","family":"Mogul","sequence":"first","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priya","family":"Mahadevan","sequence":"additional","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christophe","family":"Diot","sequence":"additional","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Wilkes","sequence":"additional","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillipa","family":"Gill","sequence":"additional","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amin","family":"Vahdat","sequence":"additional","affiliation":[{"name":"Google"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,12,3]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1298306.1298327"},{"key":"e_1_2_1_2_1","volume-title":"Proc. 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Hellerstein . 2012 . Obfuscatory obscanturism: making workload traces of commercially-sensitive systems safe to release. In CloudMAN. Maui, HI, USA. http:\/\/www.e-wilkes.com\/john\/papers\/2012.04-obfuscation-paper.pdf Charles Reiss, John Wilkes, and Joseph L. Hellerstein. 2012. Obfuscatory obscanturism: making workload traces of commercially-sensitive systems safe to release. In CloudMAN. Maui, HI, USA. http:\/\/www.e-wilkes.com\/john\/papers\/2012.04-obfuscation-paper.pdf"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098852"},{"key":"e_1_2_1_8_1","volume-title":"Proc. NSDI. 495--511","author":"Yan Francis Y.","year":"2020","unstructured":"Francis Y. Yan , Hudson Ayers , Chenzhi Zhu , Sadjad Fouladi , James Hong , Keyi Zhang , Philip Levis , and Keith Winstein . 2020 . Learning in situ: a randomized experiment in video streaming . In Proc. NSDI. 495--511 . https:\/\/www.usenix.org\/conference\/nsdi20\/presentation\/yan Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein. 2020. Learning in situ: a randomized experiment in video streaming. In Proc. NSDI. 495--511. https:\/\/www.usenix.org\/conference\/nsdi20\/presentation\/yan"},{"key":"e_1_2_1_9_1","volume-title":"Proc. USENIX Annual Technical Conference (USENIX ATC '18)","author":"Yan Francis Y.","year":"2018","unstructured":"Francis Y. Yan , Jestin Ma , Greg D. Hill , Deepti Raghavan , Riad S. Wahby , Philip Levis , and Keith Winstein . 2018 . Pantheon: The Training Ground for Internet Congestion-Control Research . In Proc. USENIX Annual Technical Conference (USENIX ATC '18) . 731--743. Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Levis, and Keith Winstein. 2018. Pantheon: The Training Ground for Internet Congestion-Control Research. In Proc. USENIX Annual Technical Conference (USENIX ATC '18). 731--743."}],"container-title":["ACM SIGCOMM Computer Communication Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503954.3503960","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503954.3503960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:32Z","timestamp":1750188632000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503954.3503960"}},"subtitle":["models for academic collaboration with industry (a Google point of view)"],"short-title":[],"issued":{"date-parts":[[2021,10,24]]},"references-count":9,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,10,24]]}},"alternative-id":["10.1145\/3503954.3503960"],"URL":"https:\/\/doi.org\/10.1145\/3503954.3503960","relation":{},"ISSN":["0146-4833"],"issn-type":[{"value":"0146-4833","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10,24]]},"assertion":[{"value":"2021-12-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}