Rakesh Ranjan Kumar
ABSTRACT
With the vast emergence of cloud computing in the recent year, numerous cloud service provider has started to provide similar functionality to the cloud customer. From a customer point of view, it has become very challenging task to select the suitable cloud services. The Quality of Service (QoS) is considered as the most significant factor for appropriate service selection and user satisfaction in cloud computing. Due to the multidimensional attribute of QoS and an interconnected relationship between them, the cloud service selection problem treated as a complex decision problem for a cloud customer. This study introduces a methodology for determining the appropriate cloud service by integrating the entropy weight method with TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. By using entropy method, we calculate the objective weight of evaluation criteria and reduce the subjective factor in the cloud service selection problem. Thereafter, TOPSIS method is utilized to evaluate the final rank of cloud service alternative based on overall performance. A real time cloud case study proves and validate the potential of our proposed approach.
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Index Terms
- Designing an efficient methodology based on Entropy-TOPSIS for evaluating efficiency of cloud services
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