RINGS: Resilient Delivery of Real-Time Interactive Services Over NextG Compute-Dense Mobile Networks

RINGS：通过 NextG 计算密集型移动网络弹性交付实时交互服务

基本信息

批准号：
2148315
负责人：
Andreas Molisch
金额：
$ 90万
依托单位：
University of Southern California
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-05-01 至 2025-04-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148315&HistoricalAwards=false
关键词：
RINGS Resilient Delivery Real Time

项目摘要

Real-time interactive (RTI) services are anticipated to be the ‘’next big thing” in information technology, merging the areas of sensing, computation, and communications that until recently have been treated separately. In traditional systems, these building blocks are not optimized to work with each other, and particularly not in real-time, constraining the type of services that can be offered. RTIs require real-time aggregation of distributed data streams onto edge/cloud compute servers that can process data as soon as it is generated. The goal of this project is to develop a general mathematical framework as well as concrete algorithms to provide such RTI services with guaranteed latencies. The results benefit the US economy by enabling more efficient, more reliable, and more resilient automation schemes, e.g., for smart factories and farms, as well as improved augmented/virtual reality. The interdisciplinary nature of the project benefits the students working on this project; a detailed plan for outreach and increasing participation of underrepresented groups strengthens the impact of the work.The project designs a general mathematical framework and concrete algorithms for reliable and resilient Real-time interactive (RTI) systems. In a first thrust, the project explores the limits of delivering latency-critical services reliably. The establishment of the reliable network stability region provides bounds on how much offered RTI traffic a network can support under the best of all algorithms. A packet-lifetime-based queuing model serves as the basis of Lyapunov-drift-inspired control algorithms that not only account for the packet delay but also takes cost such as energy consumption into account. A second thrust of the project develops robust NextG network control algorithms that can adapt to dynamic network states. Integration of the approaches in the first two thrusts under a common Lyapunov drift control framework is an avenue to enable reliable RTI service delivery, which is verified by the implementation of the algorithm on a Platform for Advanced Wireless Research (PAWR) community testbed.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.

实时交互（RTI）服务预计将成为信息技术的“下一个重大事件”，它将融合直到最近在传统系统中单独处理的传感、计算和通信领域。未针对彼此协作进行优化，尤其是未实时协作，从而限制了可提供的服务类型。 RTI 需要将分布式数据流实时聚合到可以立即处理数据的边缘/云计算服务器上。的目标被生成。该项目旨在开发一个通用数学框架和具体算法，以保证延迟的方式提供此类 RTI 服务，其结果将通过实现更高效、更可靠和更具弹性的自动化方案（例如智能工厂和农场）来惠及美国经济。以及改进的增强/虚拟现实项目的跨学科性质有利于从事该项目的学生；详细的外展计划和增加代表性不足的群体的参与增强了工作的影响力。该项目设计了一个通用的数学框架和可靠的具体算法第一个重点是，该项目探讨了可靠地提供延迟关键型服务的限制。可靠网络稳定区域的建立规定了网络可以支持的 RTI 流量的范围。基于数据包生命周期的排队模型是受李雅普诺夫漂移启发的控制算法的基础，该算法不仅考虑了数据包延迟，而且还考虑了能耗等成本。项目发展稳健能够适应动态网络状态的 NextG 网络控制算法在通用 Lyapunov 漂移控制框架下集成前两个主旨的方法是实现可靠 RTI 服务交付的途径，这通过在平台上实施算法来验证。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。