QoS-Aware Cloud Service Selection Based on Uncertain User Preference

With the growing number of alternative services being deployed by cloud service providers, and users usually can only provide uncertain QoS (Quality of Service) preferences to providers, it becomes difficult to select the most suitable service to satisfy users need. In this paper, we propose a novel model of cloud service selection which considers the uncertainty of user subjective and objective weight preferences. Based on this model, we first analyses the incompleteness and fuzziness of user preference, obtains the user subjective weight preference by intuitionistic fuzzy set and objective weight by attribute significance of rough set. Then we transform the uncertain user QoS preference-aware cloud service selection to a multiple attribute decision-making problem, further we use the technique of order the preference by similarity to an ideal solution to select best service for user. Lastly, we conduct a case study about cloud storage service selection to show the effectiveness and advantages of our approach.