Forecast-based Pricing
Forecast-Based Pricing is a cloud pricing model that belongs to the class of predictive resource allocation strategies, distinguished by its reliance on demand forecasting techniques to dynamically set prices based on anticipated usage patterns and capacity requirements.
68
Publications
4.2K
Citations
190
Authors
103
Institutions
Publications per year
2017–2026
20
Parents
68
1–5 of 68
190
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 190
103
University of Southern California
Los Angeles, United States
2 h-index
4 publications
220 citations

Istanbul Technical University
Istanbul, Türkiye
2 h-index
4 publications
117 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
41 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
65 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
89 citations
University of Castilla-La Mancha
Ciudad Real, Spain
2 h-index
6 publications
2.5K citations

The University of Melbourne
Melbourne, Australia
2 h-index
6 publications
240 citations

University of Calgary
Calgary, Canada
2 h-index
8 publications
750 citations
1–8 of 103
5 publications · 535 citations
5
h-index
3 publications · 636 citations
3
h-index
2 publications · 156 citations
2
h-index
2 publications · 380 citations
2
h-index
2 publications · 62 citations
2
h-index
1–5