NeTS: Small: Collaborative Research: Lightweight Adaptive Algorithms for Network Optimization at Scale towards Emerging Services

NetS：小型：协作研究：面向新兴服务的大规模网络优化的轻量级自适应算法

• 批准号: 1814322
• 负责人: Zhi-Li Zhang
• 金额: $ 22.77万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1814322&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Lightweight

The past decade has witnessed enormous transformations of information technologies. The era of cloud computing transformed how information is delivered. With more and more devices becoming ``smarter'' and ``plugged'' into the Internet (through embedded microprocessors and communication chipsets), we are entering into a new era of ``Internet of Things'' (IoT) and cyber-physical systems where the cyber world and physical world are increasingly integrated through a variety of sensors and actuators that are planted into the physical world but controlled through the cyber world. Both today's cloud services and emerging IoT applications alter the point-to-point communication paradigm of the existing IP Internet architecture, and require increasingly demanding quality-of-service (QoS) requirements. These requirements call for scalable and intelligent network algorithms for controlling and coordinating various network components and managing and optimizing resource allocations, with capabilities 1) to meet ever stringent availability, reliability and QoS requirements demanded by emerging services; 2) to cope with the enormous complexity of networked systems; 3) to effectively exploit the rich diversity and redundancy inherent in such complex systems as well as the new capabilities offered by new networking architectures and technologies. This project puts forth a three-plane view of networking as a conceptual framework to structure network functions and guide us in the network algorithmic designs for timely, resilient and resource-efficient information delivery: 1) an information plane capturing application semantics and requirements; 2) a (logically) centralized control plane; and 3) a distributed (programmable) communication (data) plane. This project postulates two design principles and challenges in network algorithms: a) the need for co-design of centralized and distributed network algorithms that can take advantage of a centralized control plane with a global view of the network state, while also enabling the distributed (programmable) network elements to make fast and intelligent decisions to adapt to the changes in the network conditions (e.g., failures); and b) the need for just-in-time (near) optimality as a key metric to gauge and guide the design of network algorithms for timely, resilient and resource-efficient information delivery. The goal of the proposed project is to develop scalable, lightweight, and adaptive algorithms for scalable and intelligent network control and optimization. The research on new network algorithms will contribute to the development of new networking technologies. The project will actively involve undergraduate students - especially female students and underrepresented minorities in the research project, e.g., via NSF REU grants as well as senior design courses and the Undergraduate Research Opportunity Programs at the PIs' institutions.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.

过去十年见证了信息技术的巨大转变。云计算的时代改变了信息的传递方式。 With more and more devices becoming ``smarter'' and ``plugged'' into the Internet (through embedded microprocessors and communication chipsets), we are entering into a new era of ``Internet of Things'' (IoT) and cyber-physical systems where the cyber world and physical world are increasingly integrated through a variety of sensors and actuators that are planted into the physical world but controlled through the cyber world.当今的云服务和新兴的物联网应用程序都会改变现有IP Internet体系结构的点对点通信范式，并需要越来越多的服务质量（QOS）要求。这些要求要求使用可扩展且智能的网络算法来控制和协调各种网络组件并管理和优化资源分配，并具有功能1）满足新兴服务所需的严格可用性，可靠性和QoS要求； 2）应对网络系统的巨大复杂性； 3）有效利用这种复杂系统中固有的丰富多样性和冗余，以及新的网络体系结构和技术提供的新功能。 该项目将网络视图作为构建网络功能的概念框架的三平面视图，并在网络算法设计中引导我们及时，弹性和资源有效的信息传递：1）信息平面捕获应用程序语义和要求； 2）A（逻辑上）集中控制平面； 3）分布式（可编程）通信（数据）平面。 This project postulates two design principles and challenges in network algorithms: a) the need for co-design of centralized and distributed network algorithms that can take advantage of a centralized control plane with a global view of the network state, while also enabling the distributed (programmable) network elements to make fast and intelligent decisions to adapt to the changes in the network conditions (e.g., failures); b）需要及时（接近）最优性作为衡量和指导网络算法设计的关键指标，以及时，弹性和资源有效的信息传递。 拟议项目的目的是开发可扩展，轻巧和自适应算法，以进行可扩展和智能的网络控制和优化。关于新网络算法的研究将有助于新的网络技术的发展。该项目将积极涉及本科生，尤其是女学生和少数群体的研究项目，例如，通过NSF REU补助金以及高级设计课程以及PIS机构的本科研究机会计划。该奖项奖均反映了NSF的法定任务，并通过评估范围进行了评估，该奖项已被视为众所周知的范围。

项目成果

Kaala: scalable, end-to-end, IoT system simulator

Kaala：可扩展、端到端的物联网系统模拟器

• DOI: 10.1145/3538393.3544937
• 发表时间: 2022
• 期刊: SIGCOMM workshop on networked sensing systems for a sustainable society
• 作者: Dayalan, Udhaya Kumar;Fezeu, Rostand A.;Salo, Timothy J.;Zhang, Zhi-Li
• 通讯作者: Zhang, Zhi-Li

Improving SD-WAN Resilience: From Vertical Handoff to WAN-Aware MPTCP

• DOI: 10.1109/tnsm.2021.3052471
• 发表时间: 2021-03
• 期刊: IEEE Transactions on Network and Service Management
• 影响因子: 5.3
• 作者: Yang Zhang;J. Tourrilhes;Zhi-Li Zhang;P. Sharma

PRAVEGA: Scaling Private 5G RAN via eBPF/XDP

PRAVEGA：通过 eBPF/XDP 扩展私有 5G RAN

• DOI: 10.1145/3609021.3609303
• 发表时间: 2023
• 期刊: ACM
• 作者: Dayalan, Udhaya Kumar;Wu, Ziyan;Gautam, Gaurav;Tian, Feng;Zhang, Zhi-Li
• 通讯作者: Zhang, Zhi-Li

COREL: Constrained Reinforcement Learning for Video Streaming ABR Algorithm Design Over mmWave 5G

• DOI: 10.1109/cqr59928.2023.10317803
• 发表时间: 2023-10
• 期刊: 2023 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR)
• 作者: Xinyue Hu;Arnob Ghosh;Xin Liu;Zhi-Li Zhang;N. Shroff

Traffic Control for RDMA-Enabled Data Center Networks: A Survey

• DOI: 10.1109/jsyst.2019.2936519
• 发表时间: 2020-03
• 期刊: IEEE Systems Journal
• 影响因子: 4.4
• 作者: Zehua Guo;Sen Liu;Zhi-Li Zhang