Sunday, 16 November 2014

CONCLUSION          In this paper we argue that the analysis of relevant cost types and factors of Cloud Computing Services is an important pillar of decision-making in Cloud Computing   management.He IT artifact is presented in the form of a mathematical model and implemented on a website that is open for the general public. The TCO model has been evaluated by means of an expert interview, the...
CONCLUSION

         In this paper we argue that the analysis of relevant cost types and factors of Cloud Computing Services is an important pillar of decision-making in Cloud Computing   management.He IT artifact is presented in the form of a mathematical model and implemented on a website that is open for the general public. The TCO model has been evaluated by means of an expert interview, the result of the analysis of real Cloud Computing Services, a case study as well as scientific   taxonomies and ontologies. During our research process we found that the evaluation and selection process of Cloud Computing Services is frequently conducted ad-hoc and lacks systematic methods to approach this topic. The presented method rises   the awareness of indirect as well as hidden costs in Cloud Computing. Nevertheless, the TCO approach should be regarded as one part of a comprehensive IT cost management and as an additional method to evaluate a Cloud Computing Service. Every mathematical approach has some limitations that need to be considered for its practical application. First , we made some restrictive assumptions that support us in taking a particular focus on Cloud Computing Services. Thus, we hide cost types that focus for instance on an existing internal IT infrastructure and their cost factors (cf. assumption 1and 2). If a company plans to implement a private Cloud these additional cost types are necessary for a complete evaluation. Since our approach focuses strongly on the evaluation of Cloud Computing Services that are frequently provided externally, we feel that these assumptions simplify the cost evaluation approach and its applicability. Furthermore, we do not consider quality or  functional aspects of Cloud Computing Services within our method. Implications for the scientific community are aiming at several new fields that have not been discussed extensively in the scientific literature on Cloud Computing yet. For instance, we found that current work strongly focuses on risk and security aspects of Cloud Computing. However, we did not find an approach that combines risk and security aspects by means of an approach. Additionally, benefits management in Cloud Computing is another new research field that can for instance be explored by means of cost-benefit analyses  in real world scenarios that reveal more insights on economic and managerial success factors in Cloud Computing. Additionally, further research can tackle some of the stated limitations. With regard to our TCO model we are planning to anonymously collect and store data that   has been applied to the software tool. They can be statistically analyzed to better understand decision making in Cloud Computing. Moreover, it is possible to include an AHP process for the evaluation of quality of service compared to the results of the TCO model.

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