Cloud Service Scrutinization, Estimation and Selection Framework (csesf) Using Knn – Cosine Metrics
Year: 2022
Type: article
Abstract: Cloud Service Selection is still one of the critical decisions that have the highest impact on any association.Making a decision scrutinizing them with estimation is always a complicated task.This paper implemented a three-step process in service selection: Cloud Service Scrutinization, Assessment, and Selection Framework (CSESF) using K Nearest Neighbor -cosine metrics.In this method, all the decision-maker's requirements are initially identified and listed.All the parameters and service providers are listed.An algorithm for scrutinizing is developed.Weights are calculated for preferences given by the decisionmakers.KNN with cosine metrics works on choosing the service with the smallest for the positive best solution and harmful for the far solution.The results show that CSESF is robust, practical, and suitable for choosing the service.
Authors: Sudheer Shetty, Manu A P, Pavan Kumar V
Institution: Visvesvaraya Technological University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4283213699