CC* Integration-Small: Science Traffic as a Service (STAAS)

科学研究的未来发展将需要对大量数据集和高带宽流式科学仪器数据进行计算。将需要新的实验研究基础设施，以促进对能够支持这些日益苛刻的科学数据流的网络的理解。使用实际的高速科学数据流量测试网络技术和协议的进步对于网络实验者、科学仪器用户和数据科学家至关重要。为了满足这一需求，该项目将开发一个分散式计算和网络系统的原型，以创建、收集和分发各种各样的真实的和合成科学流量，供实验研究基础设施用户社区使用。拟议的工作将首先在连接两所美国大学的网络编程计划测试平台上开发和部署科学交通即服务（STAAS）原型，然后准备STAAS，以便在目前正在开发的FABRIC中型网络研究基础设施上进行全国部署。学生接触到网络测试平台的研究与苛刻的科学流量工作量将学习技能，以帮助加强准备推进全球规模的计算云应用服务平台的劳动力，这是越来越核心的美国经济。在这个项目下创建的所有文档、软件、演示文稿和其他工件都将在http://www.cs.princeton.edu/~jbrassil/public/projects/staas/The上公开提供。使用新的校园网络基础设施，包括无源光测试接入点，网络分组代理和数据平面可编程以太网交换机，STEAS将安全地将这些流的副本分接和转发到实验测试平台上，同时保持流的时序完整性和有效载荷的数据隐私。大规模，高带宽的实验将通过争取参与多个校园的许多或所有STEAS边缘节点。通过引入基于服务的模式，STAAS可以帮助推进网络研究社区对新兴科学数据的传输，并帮助科学仪器的操作者提高其仪器收集的数据的数量和质量。该奖项反映了NSF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。

Future advances in scientific research will require computing on massive datasets and high bandwidth streaming scientific instrument data. New experimental research infrastructures will be required to advance the understanding of the networks capable of supporting these increasingly demanding science data flows. Testing advances in networking technologies and protocols with actual high-speed science data traffic is vital to networking experimenters, scientific instrument users, and data scientists. To address this need, this project will develop a prototype of a decentralized computing and networking system to create, collect and distribute a diverse collection of real and synthetic science traffic flows to the experimental research infrastructure user community. The proposed work will first develop and deploy the Science Traffic as a Service (STAAS) prototype on the Network Programming Initiative testbed connecting two US universities, and then prepare STAAS for later nationwide deployment on the FABRIC midscale networking research infrastructure now under development. The students exposed to research on networking testbeds with demanding science traffic workloads will learn skills to help strengthen a workforce prepared to advance the global-scale computing cloud application service platforms that are increasingly central to the US economy. All documents, software, presentations, and other artifacts created under this project will be made publicly available at http://www.cs.princeton.edu/~jbrassil/public/projects/staas/The key project insight is that many science flows are already in transit at any moment on or between campuses. Using new campus cyberinfrstucture including passive optical Test Access Points, Network Packet Brokers, and data-plane programmable ethernet switches, STAAS will safely tap and forward copies of these flows onto the experimental testbed, while preserving both the timing integrity of the flows and the data privacy of their payloads. Large scale, high bandwidth experiments will be achieved by enlisting participation of many or all STAAS edge nodes on multiple campuses. By introducing a service-based model, STAAS can help advance the networking research community's transport of emerging science data, and help the operators of scientific instruments increase the amount and quality of data collected by their instruments.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.