FlowValve+:基于 SoC 的智能网卡上的多队列数据包调度框架

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shaoke Xi;Fuliang Li;Lingxiang Hu;Xingwei Wang;Kui Ren
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引用次数: 0

摘要

在终端主机上使用软件调度器执行调度策略会导致高 CPU 消耗、低吞吐量和不准确性。为解决这些问题,将数据包调度器卸载到网络接口卡是一个很有前景的研究方向。然而,现有的尝试都存在网卡调度不灵活的问题,无法执行复杂的网络策略层次。在本文中,我们提出了在基于 SoC 的智能网卡上进行多队列数据包调度的通用框架 FlowValve+。FlowValve+ 背后的关键见解是将固有的队列系统抽象为单个先进先出队列,并执行专门的尾部丢弃以混合先进先出队列和预期流量比例。FlowValve+ 利用硬件加速产生高吞吐量,同时大幅降低终端主机的 CPU 和内存使用率。我们在 Netronome Agilio 40GbE 和 NVIDIA Bluefield-2 100GbE SmartNIC 上制作了 FlowValve+ 的原型,演示了它在两个平台上分别以 40 Gbps 和 80 Gbps 的速度驱动 TCP 流量的同时准确执行网络策略的能力。此外,与 DPDK 数据包调度程序相比,FlowValve+ 还能节省两个 CPU 内核。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FlowValve+: Multi-Queue Packet Scheduling Framework on SoC-Based SmartNICs
Enforcing scheduling policies with software schedulers at end-hosts leads to high CPU consumption, low throughput, and inaccuracies. To address these issues, offloading packet schedulers to the network interface card presents a promising research direction. However, existing attempts suffer from inflexible on-NIC scheduling that cannot execute complex hierarchies of network policies. In this article, we propose FlowValve + , a general framework for multi-queue packet scheduling on SoC-based SmartNICs. The key insight behind FlowValve + is to abstract the inherent queueing system as a single FIFO queue and perform specialized tail drop to mix the FIFO queue with expected flow proportions. FlowValve + leverages hardware accelerations to produce high throughput while substantially reducing CPU and memory usage on end-hosts. We prototype FlowValve + on Netronome Agilio 40GbE and NVIDIA Bluefield-2 100GbE SmartNICs to demonstrate its ability to accurately enforce network policies while driving TCP traffic at 40 Gbps and 80 Gbps on both platforms, respectively. Moreover, FlowValve + can save two CPU cores compared to DPDK packet schedulers.
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来源期刊
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
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