CC* Integration-Large: In-Network Distributed Infrastructure for Advanced Network Applications

这个项目让互联网变得更智能。互联网设计的“端到端”原则规定，构成网络的路由器、交换机、WiFi基站等应该只转发分组。在许多情况下，在中间阶段进行少量处理可以提高互联网应用程序的效率。云计算服务对社会产生了重大影响。许多人设想一个更强大的互联网，云式服务分布在整个网络中，一直到网络的边缘。该项目正在探索一种将小型服务器嵌入到互联网结构中的智能网络。该项目将适用于高效网内微服务的新型轻量级执行模型和拓扑感知协调控制层结合在一起，并使用策略语言来表达所需的应用服务和需求。该执行模型称为InLocus，旨在弥合网络数据包处理器和有状态网络服务之间的差距。InLocus可以在传统的微处理器和微控制器上运行，也可以在现场可编程门阵列(FGA)等加速器上运行。这可以用最少的资源实现必要的功能。协调框架监控网络(具有PerfSONAR网络监控系统的扩展)，并可做出智能服务放置和实例化决策。该项目将集成和评估两个重要的应用环境，一个在地球科学中，一个适用于分布式机器学习。每一项都将与NSF的网络基础设施资源一起工作。该项目将影响科学和商业应用程序及其用户。就像互联网在过去几年里接触了许多人一样，更好的互联网将继续推动创新和用户体验质量的提高。人们普遍认为，像我们正在探索的这些技术是完全实现自动驾驶汽车和智能城市以及增强现实等面向用户的能力所必需的。此外，我们在不同级别的课堂和研讨会上讲授该项目的许多原则，因为它们体现了互联网的历史和未来。该项目的网站是http://indiana.open.luddy.indiana.edu/，在那里可以找到项目概述、组件描述和源代码存储库的链接。这个项目建立并整合了以前资助的项目。即使在资助期结束后，这些以前的项目仍然是开放源码的。此外，核心功能一直得到维护，因为其他工作依赖于它。该项目的数据和代码将尽可能长时间地保留。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project makes the Internet "smarter". The "end to end" principle of Internet design states that the routers, switches, WiFi base stations, etc. that comprise the network should only forward packets. There are many instances in which small amounts of processing at intermediate stages can make Internet applications more efficient. Cloud computing services have had a significant impact on society. Many envision an even more powerful Internet with cloud-like services distributed throughout and all the way to the edge of the network. This project is exploring a smart network with small servers embedded in the fabric of the Internet.This project brings together a novel lightweight execution model suitable for efficient in-network microservices, and a topology aware coordination and control layer, with a policy language to express desired application services and requirements. The execution model, called InLocus, is designed to bridge the gap between network packet processors and stateful network services. InLocus runs on conventional microprocessors and microcontrollers, as well as on accelerators like Field Programmable Gate Arrays (FPGAs). This enables necessary functionality with minimal resources. The coordination framework monitors the network (with extensions to the PerfSONAR network monitoring system) and can make intelligent service placement and instantiation decisions. This project will integrate and evaluate two important application environments, one in Earth Sciences and one applicable to distributed machine learning. Each of these will work in conjunction with NSF cyberinfrastructure resources.This project stands to impact scientific and commercial applications and their users. Just as the Internet has touched many lives in the past years, a better Internet will continue to drive innovation and users' qualities of experience. Techniques like the ones we are exploring are widely regarded as necessary to fully realize autonomous vehicles and smart cities, as well as user-oriented capabilities like augmented reality. Additionally, we teach many of the tenets of this project in classes and seminars at various levels, as they embody the history and the future of the Internet.This project's web site is at http://indiana.open.luddy.indiana.edu/ and a project overview, component descriptions, and links to source code repositories can be found there. This project builds, and integrates, previously funded projects. These previous projects remained open source even after their period of funding ended. Further, the core functionality has been maintained as other work depends on it. This project's data and code will be maintained as long as possible.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.