Adaptive GPU resource scheduling on virtualized servers in cloud gaming

Abstract

Cloud Gaming is a modern approach for providing high-quality gaming service to the user. Cloud Gaming renders the sophisticated game scene on powerful servers and streams the video in real-time to the thin clients. Cloud Based on-demand gaming provides an affordable and flexible solution to the users with limited computing resources and enables the gamer to play high-end graphic games on low-end thin clients without upgrading their existing system. Due to its advantages, it has attracted both researchers in academia and industry. Virtualization undertakes a key part in cloud gaming providing multiple users and application to share the resource. Yet the Graphical processing unit, on which these high-end games rely, is difficult to virtualize because of its sophisticated architecture design and different device drivers. Application of GPU virtualization is very limited in data centers due to its inefficient scheduling mechanism, i.e. First come First Serve algorithm. Due to this, the virtual machines are not able to satisfy their Service level agreement. Existing cloud gaming data centers rely on a non-virtualized environment with dedicated GPU and sophisticated hardware. In this paper, an adaptive scheduling mechanism of the virtual machine for cloud gaming is proposed to achieve efficient GPU resource management in data centers, hosting cloud gaming servers.