Service Level Objective Optimization
Service Level Objective Optimization is a formal framework in Cloud Traffic Engineering that systematically balances cost-performance tradeoffs by dynamically aligning network resource allocation with application-specific service level objectives to ensure optimal operational efficiency under varying workload conditions.
70
Publications
2.2K
Citations
248
Authors
112
Institutions
Publications per year
2017–2026
36
70
Nancy Ide, Keith Suderman · 2007 · 156 citations · Full text
Computing, Computer Science, Cloud Performance Optimization +16
Xiao Zeng, Biyi Fang, Haichen Shen et al. · 2020 · 94 citations
Kanthi Nagaraj, Dinesh Bharadia, Hongzi Mao et al. · 2016 · 89 citations
1–5 of 70
248
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Moscow Technical University of Communication and Informatics, Russia
2 publications · 34 citations
2
h-index
1–5 of 248
112
University of Virginia
Charlottesville, United States
5 h-index
12 publications
235 citations
Clemson University
Clemson, United States
4 h-index
7 publications
139 citations
University of Missouri
Columbia, United States
3 h-index
12 publications
129 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
93 citations
Technical University of Munich
Munich, Germany
3 h-index
10 publications
380 citations
Moscow Technical University of Communication and Informatics
Moscow, Russia
2 h-index
4 publications
68 citations
University of California, Berkeley
Berkeley, United States
2 h-index
9 publications
381 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
5 publications
198 citations
1–8 of 112
TPDS · 3 publications · 72 citations
3
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2 publications · 34 citations
2
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2 publications · 46 citations
2
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2 publications · 33 citations
2
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2 publications · 36 citations
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