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

未来科学研究的进步将需要对海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来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。用实际的高速科学数据流量测试网络技术和协议的进展对网络实验人员、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计算和网络系统的原型，以创建、收集和分发各种真实和合成的科学流量，以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流量即服务（STAAS）原型，然后为稍后在全国范围内部署在目前正在开发的FABRIC中型网络研究基础设施上做准备。参与网络测试平台研究的学生将学习一些技能，以帮助加强劳动力队伍，为推进全球规模的计算云应用服务平台做好准备，这些平台对美国经济日益重要。在这个项目下创建的所有文档、软件、演示文稿和其他工件将在http://www.cs.princeton.edu/~jbrassil/public/projects/staas/The上公开提供，关键项目的洞察力是，许多科学流动已经在校园内或校园之间的任何时刻进行。使用新的校园网络基础设施，包括无源光测试接入点、网络数据包代理和数据平面可编程以太网交换机，STAAS将安全地将这些流的副本转发到实验测试平台，同时保留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在多个校园中招募许多或所有STAAS边缘节点的参与来实现。通过引入基于服务的模型，STAAS可以促进网络研究社区对新兴科学数据的传输，并帮助科学仪器的运营商提高其仪器收集数据的数量和质量。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。

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.