Research Article
(MC2)2: criteria, requirements and a software prototype for Cloud infrastructure decisions
Article first published online: 31 AUG 2011
DOI: 10.1002/spe.1110
Copyright © 2011 John Wiley & Sons, Ltd.
Issue

Software: Practice and Experience
Early View (Online Version of Record published before inclusion in an issue)
Additional Information
How to Cite
Menzel, M., Schönherr, M. and Tai, S. (2011), (MC2)2: criteria, requirements and a software prototype for Cloud infrastructure decisions. Softw: Pract. Exper.. doi: 10.1002/spe.1110
Publication History
- Article first published online: 31 AUG 2011
- Manuscript Revised: 5 JUL 2011
- Manuscript Accepted: 5 JUL 2011
- Manuscript Received: 8 JUL 2010
Keywords:
- decision;
- evaluation;
- Cloud computing;
- IT infrastructure;
- criteria requirements catalog;
- software prototype implementation
SUMMARY
Cloud computing is a disruptive technology, representing a new model for information technology solution engineering and management that promises to introduce significant cost savings and other benefits. The adoption of Cloud computing requires a detailed comparison of infrastructure alternatives, taking a number of aspects into careful consideration. Existing methods of evaluation, however, limit decision-making to the relative costs of Cloud computing, but do not take a broader range of criteria into account. The Multi-Criteria Comparison Method for Cloud Computing (
) offers a multi-criteria-based decision framework that can be applied to Cloud computing. The framework allows organizations to create evaluation methods that help to determine what infrastructure best suits their needs by evaluating and ranking infrastructure alternatives using multiple criteria derived from a comprehensive criteria catalog. Therefore,
offers a way to differentiate infrastructures not only by costs but also in terms of benefits, opportunities and risks.
can be adapted to facilitate a wide array of decision-making scenarios within the domain of information technology infrastructures, depending on the criteria selected to support the framework. The software prototype presented in this paper creates an interface to decision-makers that makes the framework more usable for Cloud infrastructure decisions in practice. Copyright © 2011 John Wiley & Sons, Ltd.

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