SBIR Phase I: Software Defined Networking with Partially Ordered Multipath Routing

这个小企业创新研究（SBIR）第一阶段项目的更广泛影响/商业潜力将是一个新的网络架构，以改善互联网。其原始的无连接、分组交换架构与传统的电路交换模型有所不同，并且涉及重大风险。为了管理这些风险，最初的设计侧重于一个具有智能端点的简单网络。其结果是可扩展的，健壮的，并支持广泛的通信技术；然而，它在满足许多现代网络应用程序的性能、安全性和策略需求方面的能力有限。为了满足这些新应用程序的需求，需要过度配置、昂贵、复杂和脆弱的附加技术，而这些解决方案可能无法扩展。该项目将提供一个增强的、可扩展的、健壮的智能网络，支持性能和策略控制，同时有效地利用网络资源。这将改善下一代互联网应用。这个小企业创新研究（SBIR）第一阶段项目探讨了有约束的网络的翻译。在此体系结构中，性能需求表示为性能约束，而安全性、多租户和流量区分的策略需求表示为应用程序所使用资源的布尔约束。带约束的路由计算每个目的地的最佳路径集，这些路径提供网络支持的全部性能和策略，允许通过满足应用程序需求的路径发送流量，并在网络上更均匀地分配负载（模拟显示容量增加了10倍）。这种方法更健壮，因为它是作为路由功能的一部分实现的，直接响应网络变化，而且更有效，因为它运行在“本地互联网”上，消除了覆盖。最后，它通过实现默认拒绝通信模型来提高安全性，并且更容易基于其声明性的“什么”配置模型进行配置。该项目的重点是描述和减轻该体系结构中存在的风险，并通过开发可操作的概念验证来证明该方法的可行性。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be a new network architecture to improve the internet. Its original connectionless, packet-switched architecture was a departure from the traditional circuit-switched model and involved significant risks. To manage these risks, the original design focused on a simple network with smart endpoints. The result was scalable, robust and supported a wide range of communications technologies; however, it is limited in its ability to meet the performance, security, and policy needs of many modern network applications. Overprovisioning and expensive, complex, and fragile add-on technology are required to meet the needs of these new applications and these solutions may not scale This project will provide an enhanced, smart network that is scalable and robust, supporting performance and policy control while making efficient use of network resources. This will improve the next generation of internet applications.This Small Business Innovation Research (SBIR) Phase I project explores the translation of networking with constraints. In this architecture, performance requirements are expressed as performance constraints, and policy requirements for security, multi-tenancy, and traffic differentiation as Boolean constraints on the resources used for an application. Routing with constraints computes the best set of paths per destination that provide the full range of performance and policies supported by the network, allowing traffic to be sent over paths that meet the needs of applications, and distributing the load more evenly over the network (simulations show a 10x increase in capacity). This approach is more robust because it is implemented as a part of the routing function, directly responding to network changes, and more efficient because it runs on the "native internet," eliminating overlays. Lastly, it improves security by implementing a default-deny communication model and is easier to configure based on its declarative, "what" configuration model. This project is focused on characterizing and mitigating risks remaining in this architecture and demonstrating the feasibility of this approach through the development of an operational proof-of-concept.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.