Network Function Scaling
Network Function Scaling is a virtual network function management technique that dynamically adjusts the number of network function instances in response to varying traffic loads to maintain service quality and resource efficiency.
40
Publications
1.2K
Citations
168
Authors
75
Institutions
Publications per year
2017–2026
29
Variants
Virtual Network Function Scaling
Parents
40
Elastic Scaling of Stateful Network Functions.
Shinae Woo, Justine Sherry, Sangjin Han et al. · 2018 · 108 citations
Auto-Scaling VNFs Using Machine Learning to Improve QoS and Reduce Cost
Sabidur Rahman, Tanjila Ahmed, Minh Huynh et al. · 2018 · 87 citations
Elastic network functions: opportunities and challenges
Róbert Szabó, Mario Kind, Fritz-Joachim Westphal et al. · IEEE Network · 2015 · 69 citations
Scaling the LTE control-plane for future mobile access
Arijit Banerjee, Rajesh Mahindra, Karthik Sundaresan et al. · 2015 · 67 citations
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75

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
7 publications
270 citations
AT&T (United States)
Bedminster, United States
2 h-index
6 publications
172 citations
Tsinghua University
Beijing, China
2 h-index
11 publications
135 citations
Intel (United States)
Santa Clara, United States
2 h-index
3 publications
94 citations
Politecnico di Milano
Milan, Italy
2 h-index
4 publications
132 citations

University of Cauca
Popayán, Colombia
2 h-index
6 publications
154 citations
Clemson University
Clemson, United States
2 h-index
2 publications
39 citations
City University of New York
New York, United States
1 h-index
1 publications
26 citations
1–8 of 75
3 publications · 82 citations
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2 publications · 81 citations
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2 publications · 91 citations
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1 publications · 15 citations
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1 publications · 25 citations
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