Abstract
This study focuses on the end-user marketplace for cloud computing. we have a tendency to conduct a mensuration to indicate shopper adoption behavior for these services, notably infrastructure as a service (IaaS). Bayesian mixed logit model and therefore the variable probit model area unit wont to analyze the info collected by a conjoined survey. From this investigation, we discover that the service charge and stability area unit the foremost vital adoption factors. We have a tendency to additionally gift Associate in Nursing analysis on the connection between terminal devices and IaaS, classified by core attributes like value, stability, and storage capability. From these relationships, we discover that larger storage capability is a lot of necessary for mobile devices like laptops than desktops. supported the results of the analysis, this study additionally recommends helpful methods to modify enterprise managers to concentrate on a lot of applicable service attributes, and to focus on appropriate terminal device markets matching the options of the service.
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