Abstract

Due to their maturity Cloud Computing Services can be used for creating efficient and modern Very Large Business Applications (VLBAs). These kinds of systems address the need for more agility in the whole supply chain with a loosely coupled system of separate cloud computing services combined to a highly integrated, complex Information System. But due to the fast growth of Cloud Computing the market has become non-transparent containing many offers which only partially meet customers’ requirements. That makes it even more difficult for customers to implement Cloud based VLBA-Systems. A detailed knowledge of universal Cloud requirements enables all types of customers to adopt Cloud solutions efficiently. Therefore this paper aims to contribute a framework addressing the adoption and selection of Cloud services for VLBA-Systems. To develop this framework we followed a design science approach and conducted a systematic literature review, extensive market analysis and an evaluation based on expert interviews.

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Towards a Cloud Computing Selection and Evaluation Environment for Very Large Business Applications

Due to their maturity Cloud Computing Services can be used for creating efficient and modern Very Large Business Applications (VLBAs). These kinds of systems address the need for more agility in the whole supply chain with a loosely coupled system of separate cloud computing services combined to a highly integrated, complex Information System. But due to the fast growth of Cloud Computing the market has become non-transparent containing many offers which only partially meet customers’ requirements. That makes it even more difficult for customers to implement Cloud based VLBA-Systems. A detailed knowledge of universal Cloud requirements enables all types of customers to adopt Cloud solutions efficiently. Therefore this paper aims to contribute a framework addressing the adoption and selection of Cloud services for VLBA-Systems. To develop this framework we followed a design science approach and conducted a systematic literature review, extensive market analysis and an evaluation based on expert interviews.