Publication | Open Access
Survey of Performance Acceleration Techniques for Network Function Virtualization
114
Citations
69
References
2019
Year
Cluster ComputingEngineeringComputer ArchitectureVirtualization TechniqueParallel ComputingAdvanced NetworkingNetwork VirtualizationSoftware-defined NetworkingVirtualized InfrastructureComputer EngineeringFunction Network ElementsVirtualization SupportComputer ScienceNetwork Function VirtualizationAcceleration TechniquesEdge ComputingCloud ComputingProgrammable NetworksParallel Programming
The ongoing network softwarization trend holds the promise to revolutionize network infrastructures by making them more flexible, reconfigurable, portable, and more adaptive than ever. Still, the migration from hard-coded/hard-wired network functions toward their software-programmable counterparts comes along with the need for tailored optimizations and acceleration techniques so as to avoid or at least mitigate the throughput/latency performance degradation with respect to fixed function network elements. The contribution of this paper is twofold. First, we provide a comprehensive overview of the host-based network function virtualization (NFV) ecosystem, covering a broad range of techniques, from low-level hardware acceleration and bump-in-the-wire offloading approaches to high-level software acceleration solutions, including the virtualization technique itself. Second, we derive guidelines regarding the design, development, and operation of NFV-based deployments that meet the flexibility and scalability requirements of modern communication networks.
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