TY - GEN
T1 - A Cloud Resources Portfolio Optimization Business Model - From Theory to Practice
AU - Haag, Valentin
AU - Kiessler, Maximilian
AU - Pittl, Benedikt
AU - Schikuta, Erich
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Cloud resources have become increasingly important, with many businesses using cloud solutions to supplement or outright replace their existing IT infrastructure. However, as there is a plethora of providers with varying products, services, and markets, it has become increasingly more challenging to keep track of the best solutions for each application. Cloud service intermediaries aim to alleviate this problem by offering services that help users meet their requirements. The business model of such intermediaries is missing in current works and introduced in this paper. This paper aims to lay the groundwork for developing a cloud portfolio management platform and its business model, defined via a business model canvas. Furthermore, a prototype of a platform is developed offering a cloud portfolio optimization service, using two algorithms developed in previous research to create suitable and well-utilized allocations for a customer’s applications. The developed business model forms the baseline for realizing cloud intermediaries on cloud markets.
AB - Cloud resources have become increasingly important, with many businesses using cloud solutions to supplement or outright replace their existing IT infrastructure. However, as there is a plethora of providers with varying products, services, and markets, it has become increasingly more challenging to keep track of the best solutions for each application. Cloud service intermediaries aim to alleviate this problem by offering services that help users meet their requirements. The business model of such intermediaries is missing in current works and introduced in this paper. This paper aims to lay the groundwork for developing a cloud portfolio management platform and its business model, defined via a business model canvas. Furthermore, a prototype of a platform is developed offering a cloud portfolio optimization service, using two algorithms developed in previous research to create suitable and well-utilized allocations for a customer’s applications. The developed business model forms the baseline for realizing cloud intermediaries on cloud markets.
KW - Business Model
KW - Cloud Economics
KW - Portfolio Optimization
UR - http://www.scopus.com/inward/record.url?scp=85219214216&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-81226-2_7
DO - 10.1007/978-3-031-81226-2_7
M3 - Contribution to proceedings
AN - SCOPUS:85219214216
SN - 9783031812255
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 71
EP - 83
BT - Economics of Grids, Clouds, Systems, and Services - 20th International Conference, GECON 2024, Proceedings
A2 - Naldi, Maurizio
A2 - Djemame, Karim
A2 - Altmann, Jörn
A2 - Bañares, José Ángel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2024
Y2 - 26 September 2024 through 27 September 2024
ER -