Cloud SLR data

Published: 16 March 2023| Version 1 | DOI: 10.17632/vx7bp5zdg4.1


This dataset contains the SLR data of a thesis named: "A decision support framework for multi-cloud service composition". In this research, we will explore the multi-cloud service selection, selecting the optimal criteria and providing data about the CSPs within this research. Our main contribution will be the combination matrix shown in figure \ref{fig:Conceptual-model}. The combination of CSPs based on requirements has not yet been researched. This research will consist of two artifacts. It will show an organisation how to create its knowledge base. This knowledge base will consist of cloud service providers and the requirements they meet. CSP information will be linked to qualitative criteria to get comparable criteria. With this knowledge base, organisations gain insight into the CSPs and can compare them with requirements to select the best-suiting providers. The fundamentals for the framework will be the second artifact. The aim is to assist organisations in their CSS process, focusing on cloud composition.



Universiteit Utrecht


Cloud Computing