研究用户空间网络栈中TCP/MPTCP对Drop计算的支持

C. Stoica, Radu-Ioan Ciobanu, C. Dobre
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引用次数: 0

摘要

在过去的几年里,智能设备的巨大增长为互联网的边缘带来了新的计算、存储和网络资源。使用最近开发的Drop Computing范式,这些设备可以在ad-hoc网络中互连,使用超出本地障碍的资源,以改善延迟并消除由集中式云架构的密集使用引起的核心互联网网络的压力。为了以最佳方式使用在Drop Computing网络中注册的设备的网络功能,多路径TCP (MPTCP)是允许并发使用所有设备网络接口的关键技术,从而导致更平滑的故障响应,改善延迟和更好的吞吐量。由于Drop Computing中的设备种类繁多,一些低端设备可能剥离了具有许多缺失特性的网络堆栈,但是Linux内核库(LKL)或用户模式Linux (UML)实现能够直接在用户空间中提供MPTCP和其他特性。在本文中,我们使用Linux本地网络栈或LKL/UML用户空间网络栈来评估和分析TCP和MPTCP在Drop计算特定场景中的可行性和行为。我们演示了MPTCP可以成功地在它们中的任何一个上使用,并且应该根据所使用设备的硬件配置文件和目标软件应用程序选择最合适的一个。此外,我们证明LKL和UML可以成功地用于低端设备,以允许它们使用所有的网络接口并具有更好的故障切换解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating TCP/MPTCP Support for Drop Computing in User Space Network Stacks
The tremendous growth of smart devices in the past few years has brought new computational, storage and networking resources at the edge of the Internet. Using the recently-developed Drop Computing paradigm, these devices can be interconnected in an ad-hoc network, using said resources beyond local barriers in order to improve the latency and to remove the pressure from the core Internet network caused by the intensive usage of a centralized cloud architecture. In order to use the networking capabilities of the devices registered in a Drop Computing network in an optimal manner, multi-path TCP (MPTCP) is the key technology which allows the concurrent usage of all the devices’ networking interfaces, leading to a smoother reaction to failures, improved latency, and better throughput. Because of the high variety of devices in Drop Computing, some low-end devices can have stripped network stacks with many missing features, but the Linux Kernel Library (LKL) or User Mode Linux (UML) implementations are able to offer MPTCP and other features directly in user space.In this paper, we assess the feasibility and analyze the behaviour of TCP and MPTCP in Drop Computing-specific scenarios, using the Linux native network stack or the LKL/UML user space network stack. We demonstrate that MPTCP can be used successfully over any of them and that the most suitable one should be selected based on the hardware profile of the device used and the target software application. Furthermore, we prove that LKL and UML can be successfully utilised on low-end devices in order to allow them to use all their network interfaces and have a better failure handover solution.
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