Distributed Edge Analytics
Distributed Edge Analytics is a computational framework that enables localized data processing and real-time analytical inference across geographically dispersed edge nodes in a cloud edge network, distinguishing itself from centralized analytics by minimizing latency, reducing bandwidth consumption, and preserving data locality through distributed computation and coordination.
5
Publications
100
Citations
18
Authors
6
Institutions
Publications per year
2017–2026
5
Parents
5
1–5 of 5
18
1
h-index
1
h-index
Rutgers, The State University of New Jersey, United States
1 publications · 25 citations
1
h-index
1
h-index
1
h-index
1–5 of 18
6
Institute of Informatics and Telematics
Pisa, Italy
1 h-index
3 publications
96 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
4 publications
68 citations
National Tsing Hua University
Hsinchu, Taiwan
1 h-index
5 publications
80 citations
University of California, Irvine
Irvine, United States
1 h-index
3 publications
48 citations
National Research Council
Rome, Italy
1 h-index
3 publications
96 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
1 h-index
3 publications
75 citations
Guangxi University
Nanning, China
1 publications
13 citations
Shri Vile Parle Kelavani Mandal
Mumbai, India
1 publications
12 citations
1–8 of 6
PER · 1 publications · 25 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 13 citations
1 publications · 12 citations
1–4