Optimal Selection of Cloud Service Provider Using MCDM Approach

Cloud computing services have become progressively much desired since it gives the user a variety of adapting features, systematic and genuine computational services. As Cloud Services are very popular among users nowadays, it grows very fast and almost many IT service providers engage to give services with good quality and well-structured which would adapt the features actually required by the users’. As there is a vast range of Cloud Provider, choosing the best provider had become a great challenge for Cloud users. Multiple criteria have to be analysed by the user before selecting the best Cloud Service Provider (CSP) which is a complex problem. Thus, the problem comes under multi-criteria decision-making (MCDM) problem where the MCDM handles the data in a systematic way, so that the user gets the best provider. This study incorporates different methods of MCDM techniques which would rank the Cloud Service Providers (CSPs) according to the user specifications. The techniques include Weighted Sum Model (WSM), Weighted Product Model (WPM), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Evaluation Based on Distance from Average Solution (EDAS). Thus, the ranking will help in giving out the efficient Cloud Service Provider for the customers’ specification.