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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