构建混合内核-用户空间虚拟网络功能的体系结构

N. V. Tu, Kyungchan Ko, J. W. Hong
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引用次数: 7

摘要

网络功能虚拟化(NFV)是现代网络架构的一个重要方面。NFV将网络函数(NFs)与硬件解耦,因此产生了可以在标准的商用服务器上运行的虚拟网络函数(VNFs),而这些服务器又主要运行Linux内核。在本文中,我们提出了一种利用扩展伯克利包过滤器(eBPF)构建混合内核用户空间VNFs的通用架构。eBPF是Linux内核中的一个框架,它支持内核内部的网络可编程性,以获得最佳性能。然而,由于内核的安全性,eBPF的可编程性受到限制。我们建议的体系结构采用混合方法:将简单的工作留在内核中,让复杂的工作在用户空间中处理。这种体系结构允许构建复杂的VNFs,同时具有速度和灵活性。为了演示,我们使用提出的架构构建两个VNFs:动态负载平衡器和带动态嗅探的深度包检测。评估结果表明,这两种VNFs都明显优于广泛使用的解决方案。
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Architecture for building hybrid kernel-user space virtual network functions
Network Function Virtualization (NFV) is one of the important aspects of modern network architecture. NFV decouples Network Functions (NFs) from hardware, therefore produces Virtual Network Functions (VNFs) that can run on standard, commodity servers, which in turn mostly run Linux kernel. In this paper, we propose a general architecture for building hybrid kernel-user space VNFs which leverages extended Berkeley Packet Filter (eBPF). eBPF is a framework in Linux kernel that enables network programmability inside kernel for optimal performance. However, the programmability of eBPF is limited due to safety and security of the kernel. Our proposed architecture applies hybrid approach: leave the simple work inside the kernel with eBPF and let complex work be processed in the user space. This architecture allows building complex VNFs to have both speed and flexibility. To demonstrate, we use the proposed architecture to build two VNFs: Dynamic Load Balancer and Deep Packet Inspection with Dynamic Sniffing. The evaluation results show that both VNFs significantly outperform the widely used solutions.
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