PACIS 2020 Proceedings


The selection and implementation of suitable cloud services that best fit cloud service consumer requirements can be a complex, time-consuming and cost-intensive process, especially for small and medium-sized enterprises. Since there is no “one-fits-all” cloud service provider, companies face the challenge of selecting and combining services from different vendors to meet all their requirements. In this paper, we derive design requirements for cloud broker systems combining knowledge drawn from the literature and empirical insights based on findings from our research on guidance support systems. This system should provide cloud service consumers with guidance in the cloud service selection process by implementing (semi-)automated selection and recommendation features via matchmaking and ranking technologies. The recommended design requirements may serve as a blueprint for small to medium-sized companies designing new cloud broker systems or extending current systems.



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