Abstract
Ranking of QoS provides significant facts for choosing best services offered by the cloud service providers from a group of service candidates who are functionally equivalent. Currently available frameworks must have the capacity to recommend service providers that are chosen probably by the clients. In maximum number of frameworks, rating score is used for representing the degree of preference. Customers who availed the services previously will give the ratings on a group of attributes. This input from the customers is given to traditional collaborative filtering algorithms for giving rating for the services which are not rated. We propose a multicriteria-based QoS ranking prediction framework, which guides the customers to choose the best service provider based on requirements of the customers and preferences for various services offered by the cloud by considering the benefits of past customers service usage and experiences. The framework proposed by us does not require any further real-world service problems from the intended cloud users for predicting QoS ranking.
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Sendhil Kumar, K.S., Jaisankar, N. (2019). Multicriteria-Based Ranking Framework for Measuring Performance of Cloud Service Providers. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_39
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DOI: https://doi.org/10.1007/978-981-13-3600-3_39
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