Fog Data Placement
Fog Data Placement is a computational strategy that determines the optimal distribution and storage of data across fog nodes in a fog computing infrastructure, distinguishing itself from related resource management techniques by specifically addressing data location decisions to minimize latency, bandwidth usage, and energy consumption while meeting quality-of-service requirements in proximity-aware edge environments.
18
Publications
821
Citations
69
Authors
37
Institutions
Publications per year
2017–2026
18
Parents
18
iFogStor: An IoT Data Placement Strategy for Fog Infrastructure
Mohammed Naas, Philippe Raïpin Parvédy, Jalil Boukhobza et al. · 2017 · 122 citations
T. Saravanan, S. Saravanakumar · International Journal of Intelligent Networks · 2022 · 68 citations · Full text
1–5 of 18
69
3
h-index
3
h-index
3
h-index
Nanjing University of Information Science and Technology, China
2 publications · 165 citations
2
h-index
2
h-index
1–5 of 69
37

Université de Bretagne Occidentale
Brest, France
3 h-index
7 publications
517 citations
Orange (France)
Paris, France
3 h-index
5 publications
387 citations
Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
Brest, France
2 h-index
3 publications
309 citations
COMSATS University Islamabad
Islamabad, Pakistan
2 h-index
3 publications
173 citations
Ubiquitous Energy (United States)
Redwood City, United States
1 h-index
1 publications
23 citations

Nanjing University of Information Science and Technology
Nanjing, China
1 h-index
1 publications
152 citations

Banaras Hindu University
Varanasi, India
1 h-index
2 publications
90 citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
1 publications
23 citations
1–8 of 37
2 publications · 42 citations
2
h-index
2 publications · 135 citations
2
h-index
2 publications · 32 citations
2
h-index
Repository · 1 publications · 13 citations
1
h-index
1 publications · 23 citations
1
h-index
1–5