Abstract
Cloud computing brings in significant technical advantages and enables companies, especially small and medium size enterprises (SMEs), to eliminate up-front capital expenditures. This is due to the various benefits it provides, such as pay-as-you-go service model, flexibility of services, and on-demand accessibility. The proliferation of cloud services leads to their wide spread use and calls for comprehensive evaluation approaches in order to be able to choose the most suitable alternatives. To this end, existing studies in the literature generally provide solutions incorporating a single method for making such decisions. Therefore, this study proposes a more comprehensive solution in the form of a decision support system named as ClouDSS which employs various Multi-Criteria Decision Making (MCDM) methods with the aim of optimizing cloud service selection decisions. ClouDSS has a default decision model, which can be customized according to enterprise-specific requirements, for evaluating the suitability of cloud services with respect to business needs. After presenting the main components of ClouDSS, the employed cloud service selection process is described in order to highlight the associated tasks, including both objective and subjective evaluation approaches. Furthermore, the applicability of the proposed system is demonstrated through a case study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.