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|Booktitle=Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC '12) | |Booktitle=Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC '12) | ||
+ | |Pages=127-141 | ||
|Publisher=Springer | |Publisher=Springer | ||
|Series=LNCS | |Series=LNCS |
Aktuelle Version vom 11. September 2012, 09:16 Uhr
Cloud Service Selection based on Variability Modeling
Cloud Service Selection based on Variability Modeling
Published: 2012
November
Buchtitel: Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC '12)
Nummer: 7636
Reihe: LNCS
Seiten: 127-141
Verlag: Springer
Referierte Veröffentlichung
BibTeX
Kurzfassung
The selection among Cloud services is a recent problem in research and practice. The diversity of decision-relevant criteria, configurability of Cloud services and the need to involve human decision-makers require holistic support through models, methodologies and tools. Existing Cloud service selection approaches do not address all stated difficulties at the same time. We present an approach to capture capabilities of Cloud services and requirements using variability modeling. We use Cloud feature models (CFMs) as a representation mechanism and describe how they are utilized for requirements elicitation and filtering within a presented Cloud service selection process (CSSP) that includes human decision-makers. Filtering produces a reduced number of valid Cloud service configurations that can be further assessed with current multi-criteria decision making-based selection approaches. We present software tools that we use to demonstrate the applicability of our approach in a use case about selecting among Cloud storage services.
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