Automated Traffic Engineering
Automated Traffic Engineering is a network management framework that systematically optimizes the routing and distribution of data flows across cloud infrastructure by dynamically adjusting path selection, resource allocation, and quality-of-service parameters in response to real-time traffic conditions and policy objectives.
51
Publications
2.3K
Citations
181
Authors
67
Institutions
Publications per year
2017–2026
21
Parents
51
Li Chen, Justinas Lingys, Kai Chen et al. · 2018 · 280 citations · Full text
Ashutosh Arun, Md. Mazharul Haque, Simon Washington et al. · Transportation Research Part C Emerging Technologies · 2022 · 98 citations · Full text
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Tsinghua University
Beijing, China
3 h-index
9 publications
321 citations
University of Washington
Seattle, United States
3 h-index
7 publications
145 citations
University of South Florida
Tampa, United States
3 h-index
5 publications
328 citations

The University of Adelaide
Adelaide, Australia
2 h-index
2 publications
33 citations
Daqing Normal University
Daqing, China
2 h-index
6 publications
72 citations
Università della Svizzera italiana
Lugano, Switzerland
2 h-index
2 publications
43 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
7 publications
161 citations
Heilongjiang Bayi Agricultural University
Daqing, China
2 h-index
2 publications
24 citations
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TRR · 4 publications · 86 citations
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4 publications · 174 citations
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2 publications · 67 citations
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TNSM · 2 publications · 46 citations
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1 publications · 33 citations
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