Creating complex testbed networks to explore SDN-based all-campus science DMZs
Creating complex testbed networks to explore SDN-based all-campus science DMZs
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创建复杂的测试床网络来探索基于 SDN 的全校园科学 DMZ
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
J. Griffioen
中科院分区：
文献类型：
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作者：
P. S. Rivera;Jacob Chappell;M. Hayashida;Andrew Groenewold;Peter Oostema;Caleb Voss;Hussamuddin Nasir;Charles Carpenter;Yongwook Song;Zongming Fei;J. Griffioen
几乎所有学科的研究人员--他们现在的工作都依赖于大型数据集--越来越多地面临“中间盒”瓶颈（例如，防火墙、NAT、IDS/IDP），在跨园区网络传输数据集时会限制性能。为了解决这个问题，我们正在探索软件定义网络（SDN）园区网络设计，允许研究人员“绕过”某些批准的数据传输的速率限制中间盒。然而，由于各种原因，测试和评估校园范围SDN网络的新旁路控制软件具有挑战性，首先需要创建一个真实的测试环境。为了解决这个问题，我们创建了三个不同的测试平台来模拟校园网络的复杂性，并一直使用这些测试平台来评估我们的方法和原型实现。特别是，我们开发了（1）GENI网络测试床，（2）基于实验室的物理网络测试床，和（3）有限的校园网络测试床。我们描述的挑战和障碍，同时创建这些测试网络，我们报告的解决方案，产生了三个现实的，但独特的“校园网”测试平台。我们描述的实验，我们能够执行的测试台以及性能结果。
Researchers from almost all academic disciplines — who now rely on large data sets for their work — are increasingly facing “middlebox” bottlenecks (e.g., firewalls, NAT, IDS/IDP) that limit performance when transferring data sets across the campus network. To address this problem, we are exploring Software Defined Networking (SDN) campus network designs that allow researchers to “bypass” rate-limiting middleboxes for certain approved data transfers. However, testing and evaluating new bypass control software for a campus-wide SDN network is challenging for a variety of reasons, beginning with the need to create a realistic test environment. To address this problem, we created three different testbeds that emulate the complexities of a campus network, and have been using these testbeds to evaluate our approach and prototype implementation. In particular, we developed (1) a GENI network testbed, (2) a lab-based physical network testbed, and (3) a limited campus network testbed. We describe the challenges and obstacles encountered while creating these testbed networks, and we report on the solutions developed that produced three realistic but unique “campus network” testbeds. We describe the experiments we were able to perform on the testbeds as well as performance results.