VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming

TACO Pub Date : 2013-06-17 DOI:10.1145/2632216
Miao Yu, Chao Zhang, Zhengwei Qi, Jianguo Yao, Yin Wang, Haibing Guan
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引用次数: 86

Abstract

To achieve efficient resource management on a graphics processing unit (GPU), there is a demand to develop a framework for scheduling virtualized resources in cloud gaming. In this article, we propose VGRIS, a resource management framework for virtualized GPU resource isolation and scheduling in cloud gaming. A set of application programming interfaces (APIs) is provided so that a variety of scheduling algorithms can be implemented within the framework without modifying the framework itself. Three scheduling algorithms are implemented by the APIs within VGRIS. Experimental results show that VGRIS can effectively schedule GPU resources among various workloads.
VGRIS:云游戏中的虚拟化GPU资源隔离与调度
为了在图形处理单元(GPU)上实现高效的资源管理,需要开发一个框架来调度云游戏中的虚拟资源。在本文中,我们提出了一种用于云游戏中虚拟化GPU资源隔离和调度的资源管理框架VGRIS。提供了一组应用程序编程接口(api),以便可以在框架内实现各种调度算法,而无需修改框架本身。通过VGRIS内部的api实现了三种调度算法。实验结果表明,VGRIS可以有效地在不同的工作负载间调度GPU资源。
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