Edge Scalability
Edge Scalability is a methodological framework within edge computing infrastructure that enables the dynamic expansion or contraction of computational, storage, and networking resources at the edge in response to fluctuating workloads and spatial distribution of edge nodes, while maintaining service quality, low latency, and resource efficiency.
7
Publications
314
Citations
37
Authors
15
Institutions
Publications per year
2017–2026
6
7
Engineering Egress with Edge Fabric
Brandon Schlinker, Hyojeong Kim, Timothy Cui et al. · 2017 · 177 citations
1–5 of 7
37
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 37
15
Meta (United States)
Menlo Park, United States
1 h-index
1 publications
177 citations

University of Salerno
Fisciano, Italy
1 h-index
3 publications
54 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
177 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
354 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
1 publications
177 citations
Meta (Israel)
Tel Aviv, Israel
1 h-index
6 publications
1.1K citations

University of British Columbia
Vancouver, Canada
1 h-index
4 publications
72 citations
Universidade Federal Fluminense
Niterói, Brazil
1 h-index
2 publications
42 citations
1–8 of 15
1 publications · 18 citations
1
h-index
1 publications · 17 citations
1
h-index
FGCS · 1 publications · 30 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 11 citations
1–5