Affiliations: [a] School of Computing, SASTRA Deemed to be University, Thanjavur, India
| [b] SCOPE, VIT, Vellore, India
Correspondence:
[*]
Corresponding author. K. Geetha, School of Computing, SASTRA Deemed to be University, Thanjavur, India. E-mail: geetha@cse.sastra.edu.
Abstract: The widespread adoption of cloud computing by several companies across diverse verticals of different sizes has led to an exponential growth of Cloud Service Providers (CSP). Multiple CSPs offer homogeneous services with a vast array of options and different pricing policies, making the suitable service selection process complex. Our proposed model simplifies the IaaS selection process that can be used by all users including clients from the non-IT background. In the first phase, requirements are gathered using a simple questionnaire and are mapped with the compute services among different alternatives.In the second phase, we have implemented the Sugeno Fuzzy inference system to rank the service providers based on the QoS attributes to ascertain the appropriate selection. In the third phase, we have applied the cost model to identify the optimal CSP. This framework is validated by applying it for a gaming application use case and it has outperformed the online tools thus making it an exemplary model.
