A Prototype for Analyzing the Internet Routing System Based on Spark and Docker

Hao Zeng, Baosheng Wang, Wenping Deng, Junxing Tang
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引用次数: 2

Abstract

Now, network security is becoming more and more serious, and network security has become a big data issue. But the big data processing technology is complex with low utilization, poor availability and impossible load balancing. In this paper, we propose a highly elastic and available big data processing prototype based on spark and docker. In our prototype, we use microservice as basic unit to provide service for business and docker container as carrier for microservice. By monitoring the actual running state of the business and the lightweight and fast start features of the container, we can quickly and dynamically add and remove containers to provide scaling service for business. Then we download the BGP routing table from www.routeviews.org and use our prototype for analysis. Experiments show that, based on the size of the BGP routing table, our prototype can scale to meet real-time business processing requirements.
基于Spark和Docker的Internet路由系统分析原型
现在,网络安全问题越来越严重,网络安全已经成为一个大数据问题。但大数据处理技术复杂,利用率低,可用性差,无法实现负载均衡。本文提出了一种基于spark和docker的高弹性、高可用性的大数据处理原型。在我们的原型中,我们使用微服务作为基本单元为业务提供服务,并使用docker容器作为微服务的载体。通过监控业务的实际运行状态以及容器的轻量级和快速启动特性,我们可以快速、动态地添加和删除容器,为业务提供扩展服务。然后我们从www.routeviews.org下载BGP路由表,并使用我们的原型进行分析。实验表明,基于BGP路由表的大小,我们的原型可以扩展到满足实时业务处理的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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