Publication | Closed Access
GPUNFV
34
Citations
15
References
2017
Year
Unknown Venue
Cluster ComputingGpu ArchitectureEngineeringGraphics Processing UnitEdge ComputingCloud ComputingComputer EngineeringComputer ArchitectureSystems EngineeringParallel ProgrammingComputer ScienceParallel ComputingNfv SystemGpu ClusterNetwork Function VirtualizationPreliminary Gpunfv SystemGpu ComputingGpu Virtualization
This paper presents GPUNFV, a high-performance NFV system providing flow-level micro services for stateful service chains with Graphics Processing Unit (GPU) acceleration. GPUNFV exploits the massively-parallel processing power of GPU to maximize the throughput of the NFV system. Combined with the customized flow handler, GPUNFV achieves a much better throughput than the existing NFV systems. With a carefully designed GPU-based virtualized network function framework, GPUNFV is able to efficiently support both stateful and stateless network functions. We have implemented a number of GPU-based network functions and a preliminary GPUNFV system to demonstrate the lexibility and potential of our design.
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