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( MC 2 ) 2 : criteria, requirements and a software prototype for Cloud infrastructure decisions
Author(s) -
Menzel Michael,
Schönherr Marten,
Tai Stefan
Publication year - 2013
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.1110
Subject(s) - cloud computing , computer science , ranking (information retrieval) , software , usable , information technology management , risk analysis (engineering) , domain (mathematical analysis) , information technology , data science , information system , management information systems , engineering , world wide web , business , mathematical analysis , mathematics , machine learning , electrical engineering , programming language , operating system
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 (( M C 2)2 ) 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,( M C 2)2offers a way to differentiate infrastructures not only by costs but also in terms of benefits, opportunities and risks.( M C 2)2can 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.