NeTS:Small: Collaborative Research: Predictable Delivery for Large-Scale Real-Time Applications

越来越多的大型实时分布式控制和数据处理系统被部署，以支持国家？这些服务包括基础设施和关键服务，如电网控制、运输监控系统和水处理系统。由于其大规模部署，这些系统提出了非常不同的要求，与传统的实时系统相比。它们通常需要在动态网络上的多个域上进行软（可预测）实时交付。这些要求无法通过当前的超额准备或基于储备的解决方案来满足。该项目研究了一个有前途的解决方案，以有效地解决跨多个领域的这个问题。通过解决网络层的可预测性，在互联网上支持大规模的可预测的实时交付的基本问题是在这里的研究。特别是，该项目探索了现成的时间同步技术，如GPS，CDMA和IEEE 1588精确时间协议，以实现多个域和动态路径上的可预测传输。本文提出了两种关键的机制来估计从路由器到目的地的延迟，并根据数据包的上游提前性和下游松弛性为数据包提供服务，从而在部分重叠的数据流之间实现更有效的资源共享。本项目的结果将为支持大规模分布式控制系统提供可行的实用解决方案，并使功率控制、流量监控和能量管理等功能更强大的应用成为可能。研究成果将通过期刊和会议出版物与广大社区分享。一个原型系统将被建立来说明所提出的系统的有效性。该项目将与夏威夷土著科学和工程导师计划合作，以扩大少数民族学生的参与。

More and more large-scale real-time distributed control and data processing systems are deployed to support the nation?s infrastructures and critical services, such as power grid control, transportation monitoring systems, and water processing systems. Due to their large scale deployment, these systems pose very different requirements, compared with traditional real-time systems. They generally require soft (predictable) real-time delivery over multiple domains on dynamic networks. These requirements cannot be met using current overprovision or reservation-based solutions. This project investigates a promising solution to effectively address this issue across multiple domains. The fundamental issues in supporting large-scale predictable real-time delivery on the Internet, by addressing the predictability in the network layer are studies here. In particular, the project explores the ready-available time synchronization technology, such as GPS, CDMA, and IEEE 1588 Precision Time Protocol, to achieve predictable delivery over multiple domains and dynamic paths. Two key mechanisms are developed to estimate the delay from a router to a destination and service a packet based on its upstream earliness and downstream laxness for more efficient resource sharing among partially-overlapping flows.The results from this project will provide a viable practical solution to support large-scale distribution control systems and enable more powerful applications in power control, traffic monitoring, and energy management. The research results will be shared with the broad community via journal and conference publications. A prototype system will be built to illustrate the effectiveness of the proposed system. This project will work with Native Hawaiian Science and Engineering Mentorship Program to broaden the participation of minority students.