Rapture

An Efficient Cloud Gaming Platform Built on Containerization

Master thesis (2022)

Authors

E.F.J. Russel Electrical Engineering, Mathematics and Computer Science

Contributors

Jan S. Rellermeyer Data-Intensive Systems - EEMCS (supervisor 1)
D.H.J. Epema Data-Intensive Systems - EEMCS (supervisor 2)
A Katsifodimos Web Information Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Erwin Russel
More Info
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Published Date

08-07-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Cloud gaming is a new paradigm that allows users to play games in the cloud and stream them to a thin client. While there is little research about cloud gaming, containerization technologies such as Docker could provide a virtualization alternative to Virtual Machines, as these suffer from overhead and GPU pass-through constraints. With Rapture, we provide an efficient cloud gaming platform based on containerization. Stable GPU multi-tenancy is achieved by resource restrictions such as frame rate and resolution limiting.
A resource-aware best-fit scheduling algorithm accomplishes workload placement in the cloud gaming cluster. The best-fit algorithm outperforms other scheduling algorithms in node utilization and preservation of Quality of Experience. Furthermore, Checkpoint and Restore technologies enable migration, maintaining a high node utilization when down-scaling services. While migration improves efficiency, Quality of Experience is affected.