Authors:
Azubuike Ezenwoke
1
;
Olawande Daramola
1
and
Matthew Adigun
2
Affiliations:
1
Covenant University, Nigeria
;
2
University of Zululand, South Africa
Keyword(s):
Cloud Service Selection, e-Marketplace, Constraint Satisfaction, Fuzzy Decision Making, Fuzzy AHP, Visualization.
Abstract:
The growing popularity of cloud services requires service selection platforms that offer enhanced user experience in terms of handling complex user requirements, elicitation of quality of service (QoS) requirements, and presentation of search results to aid decision making. So far, none of the existing cloud service selection approaches has provided a framework that wholly possesses these attributes. In this paper, we proposed a fuzzy-oriented framework that could facilitate enhanced user experience in cloud e-marketplaces through formal composition of atomic services to satisfy complex user requirements, elicitation and processing of subjective user QoS requirements, and presentation of search results in a visually intuitive way that aids users’ decision making. To do this, an integration of key concepts such as constrained-based reasoning on feature models, fuzzy pairwise comparison of QoS attributes, fuzzy decision making, and information visualization have been used. The applicab
ility of the framework is illustrated with an example of Customer Relationship Management as a Service.
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