ACM Transactions on Architecture and Code Optimization · 2014 · 63 citations · 36 references
ComputingCloud ComputingComputer ScienceCloud InfrastructureComputer GraphicsVirtualizationCloud Resource ManagementCloud VirtualizationCompute Resource ManagementResource SchedulingVirtualization ArchitectureWorkload SchedulingCloud SchedulingGpu ArchitectureGpu MicroarchitectureGpu VirtualizationPerformance IsolationResource IsolationVirtual Machine Resource AllocationVirtual Machine Scheduling
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.
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Xen and the art of virtualization
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Xen and the art of virtualization
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