从云端升起:迈向低地球轨道上的高速率容错网络

Alan Hylton, D. Raible, G. Clark, R. Dudukovich, Brian J. Tomko, Laura, Burk
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引用次数: 8

摘要

高数据速率架构(HiDRA)项目正在实施一种高速率容延迟网络(HDTN)能力,可以支持低地球轨道(LEO)应用和环境。本文描述了目前的工作状态、未来的工作以及迄今为止工作的其他要素。该实现旨在支持运行速度为1+ Gbps的应用,符合现代光学和高频射频链路的要求。独特的是,此实现还经过调优以支持中继和数据集群应用程序,这可能需要支持每秒大量的小包。该平台的设计完全基于商用现货(COTS)组件,并具有5tb范围的缓冲能力。本文档从以前的单个测试中获取结果,并将它们集成在一起,以在一个连贯的用例中演示结果:考虑国际空间站上的一个网络,该网络打算利用即将到来的光通信能力。对于这个用例,轨道分析软件用于分析轨道动力学,从中生成一个访问时间列表,该列表可能会考虑天气、赛程竞争等因素。将接触图路由(CGR)的一种变体应用于这些窗口以确定最优调度。然后将此时间表加载到HDTN原型中,并结合各种测量工具,对HDTN的性能进行完整的端到端分析。确定了各种瓶颈(包括存储):预计这些瓶颈将帮助我们将未来的工作重点放在最有可能出现问题的系统元素上。最后,我们讨论了超越当前系统支持速率的可能进化路径,包括(但不限于)硬件加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rising above the cloud: toward high-rate delay-tolerant networking in low earth orbit
The High Data Rate Architecture (HiDRA) project is implementing a High-rate Delay Tolerant Networking (HDTN) capability that can support Low Earth Orbit (LEO) applications and environments. The present state of the effort, future work, and other elements of the work to date are described in this paper. This implementation is intended to support applications that run at 1+ Gbps, per the requirements of modern optical and high-frequency RF links. Uniquely, this implementation is also tuned to support relay and data trunking applications, which might require support for large numbers of small bundles per second. The design for this platform is based entirely on commercial-off-the-shelf (COTS) components, and possesses buffering capabilities in the 5 TB range. This document takes results from previous individual tests and integrates them to demonstrate results in the presence of a coherent use-case: consider a network aboard the ISS which intends to utilize an upcoming optical communications capability. For this use-case, orbital analysis software is used to analyze orbital dynamics, from which a list of access times are generated that might take in to account weather, schedule competition, etc. A variant of Contact Graph Routing (CGR) is applied to these windows to determine an optimal schedule. This schedule is then loaded into the HDTN prototype and, in conjunction with various measurement tools, a complete end-to-end analysis of HDTN’s performance is conducted. Various bottlenecks (including storage) are identified: these bottlenecks are expected to help us focus our future work on the elements of the system that are most likely to present issues moving forward. Finally, we discuss possible paths for evolution beyond the present rates supported by the system, including (but not limited to) hardware acceleration.
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