基于Docker的大规模流系统覆盖网络性能评估

Bin Xie, Guanyi Sun, G. Ma
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引用次数: 3

摘要

Docker作为当今最流行的容器技术,已经被越来越多的人和公司所接受。它实现了开发和It运营团队在任何地方构建、发布和运行任何应用程序的敏捷性和控制。利用Docker的优势,企业能够更有效地利用大数据分析。在本文中,我们在Docker中使用两种网络模式来构建一个基于Spark的流媒体应用程序。为了取得更好的效果,我们设计了一个实验系统,从不同的方面考察了主机和覆盖网络模式之间的性能。通过我们的工作,我们发现主机模式是更快的覆盖模式在8%左右。同时,叠加模式更加稳定。我们引入变异系数来观察各个包之间的传输延迟差异,叠加模式优于主机模式50%以上。因此,叠加网络模式更适合视频会议等对网络抖动质量要求较高的业务。另一方面,当需要获得更高的传输延迟时,主机模式是更好的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Docker based overlay network performance evaluation in large scale streaming system
Docker, the most popular container technique today, has accepted by more and more people and companies. It achieves agility and controls for Development and IT Operations teams to build, ship, and run any app, anywhere. Taking Docker's advantages, enterprises are able to leverage big data analytics more efficiently. In this paper, we use two network modes in Docker when building one Spark based streaming application. To get better achievement we design one experimental system to investigate performance between host and overlay network mode from different aspects. Through our working, we find host mode is faster overlay mode around 8%. At the same time, the overlay mode is more stable. We introduce coefficient of variation to see the difference of transfer latency among every package and overlay mode is better than host mode more than 50%. Therefore, overlay network mode is more suitable for the business with high quality requirement of network jitter like video conference. On the other hand, when need to get higher transfer latency, host mode is better choice.
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