Network Traffic as a Federated Testbed Service

Jack Brassil
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Abstract

We describe a prototype of Science Traffic as a Service (STAAS), a decentralized, cooperative system to collect, filter and distribute a diverse collection of real and synthetic data traffic to the global experimental research testbed user community. Available on-demand to networking experimenters through a web dashboard, the tool promises to elevate traffic selection and distribution to a first class experimental instrumentation resource. We believe the alternatives to providing this service on large-scale federated testbeds are increasingly unworkable for experimenters. As backbone networks increasingly deploy 100–1000 Gbps communications links we are moving beyond the point where experimenters can reasonably be asked to independently, safely, and efficiently create test traffic that provides the realism that their investigations will demand. We seek to deploy our prototype at campuses and testbeds attached to the emerging FABRIC mid-scale networking research infrastructure. We describe prototype design, operation and implementation, and how it is integrated with existing campus networking infrastructure. We explain how remote experimenters will request and acquire network traffic to study. We detail our process for forwarding campus traffic onto the experimental testbed, while striving to preserve both the timing integrity of the flows and the data privacy of their payloads.†
作为联邦测试平台服务的网络流量
我们描述了一个科学流量即服务(STAAS)的原型,这是一个分散的协作系统,用于收集,过滤和分发各种真实和合成数据流量到全球实验研究测试平台用户社区。网络实验人员可以通过web仪表板按需使用该工具,该工具承诺将流量选择和分配提升到一流的实验仪器资源。我们认为,在大规模联合测试平台上提供此服务的替代方案对实验人员来说越来越不可行。随着骨干网越来越多地部署100-1000 Gbps的通信链路,我们正在超越实验人员可以合理地要求独立、安全、高效地创建测试流量,以提供他们调查所需的现实性。我们试图将我们的原型部署在校园和连接到新兴的FABRIC中型网络研究基础设施的测试平台上。我们描述了原型设计、操作和实现,以及它如何与现有的校园网络基础设施集成。我们解释了远程实验者将如何请求和获取网络流量来进行研究。我们详细介绍了将校园流量转发到实验测试平台的过程,同时努力保持流量的定时完整性和有效载荷的数据隐私
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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