CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark

Article Details
Title:	CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark
Article URLs:	https://doi.org/10.1145/2934872.2934880 https://www.wikidata.org/entity/Q66781445
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Authors:	Hong Zhang	Hong Kong University of Science and Technology, SING Group
	Li Chen	Hong Kong University of Science and Technology, SING Group
	Bairen Yi	Hong Kong University of Science and Technology, SING Group
	Kai Chen	Hong Kong University of Science and Technology, SING Group
	Mosharaf Chowdhury	University of Michigan
	Yanhui Geng	Huawei
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DBLP Key:	conf/sigcomm/ZhangCY0CG16
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ACM Special Interest Group on Data Communication, SIGCOMM 2016