A Study of Scheduling Algorithms for Hybrid Clouds

Student: Khoroshanskiy Lev

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

The evolution of cloud technologies enabled elastic production environments, where computing resources can be provisioned and de-provisioned on demand at any time. Adapting to this trend, companies with legacy on-premises infrastructures face a dilemma: how can they serve customer needs while managing a combination of their own and rented resources in the most cost-eﬃcient manner? Several lines of research have emerged over the past decade, but none of them provide a uniﬁed framework for reasoning about an optimal conﬁguration of a hybrid cloud. This work presents a systematic overview of hybrid cloud scheduling algorithms, develops practical design guidelines and shows their validity using comprehensive simulation studies.

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