Toolkit for Selecting Configuration of Cloud Resources

Student: Mikhailov Nikita

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

Modern researches in almost all domains tend to be more computationally expensive. This led to creating many providers of cloud computation resources like Google cloud, Microsoft Azure, Yandex cloud, and much more. For each of these services exists many different configurations that have their own cost and performance. Such differences are the reason why choose a configuration for the given workload became hard and requiring much manual work. The goal of this work is to create the toolkit that will help to select the best cloud configuration across given cloud providers considering execution time and cost.

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