Improve Quality of Systems via Dynamic Cost-Aware Selection of Web-Services

Due to the dynamic performance of web services, a pivotal step in ensuring the quality of our system is dynamic service selection. The study aims to reach a more precise objective function for the problem and improve it by considering the cost of service selection. The method we propose takes into account the expenses associated with service selection by executing the service selection process to determine the optimal services solely in instances where there is a notable change in service metrics. To gather the data required for evaluating this work, we used a virtual server provided by Hetzner Online GmBH and collected information about round-time trip by using the global ping network. By implementing this method, we lower the number of service selections, which might slightly decrease the quality of service. We believe our method could lead to a higher overall score in objective function.