NeTS: Small: Lightweight, Accurate Network Estimation at the Wireless Edge

NeTS：小型：无线边缘的轻量级、准确的网络估计

• 批准号: 1718405
• 负责人: Aaron Striegel
• 金额: $ 50万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1718405&HistoricalAwards=false
• 关键词: NeTS; Small; Lightweight; Accurate; Network

Wireless technology has emerged as a critical piece of our modern, national economy. As more users, devices, and services lean heavily on a blend of WiFi and cellular service, it becomes important to understand whether our national wireless infrastructure will meet the demands of tomorrow. Unfortunately, the instruments for understanding such environments have lagged woefully behind and have not adapted to modern wireless technologies. The focus of this work is to bridge that gap to deliver significant improvements in handling WiFi and cellular. This research seeks to deliver instrumentation ten times faster than current technology while minimally draining the battery or impacting other users. The proposed work further explores whether one can achieve such instrumentation entirely for free, taking advantage of work the mobile device is already doing at present but simply ignoring. The research will create new software development kits to provide a ready-made wireless toolbox for app developers to cleverly improve the vast suite of apps available today.The proposed work seeks to explore the extent to which both modern WiFi and cellular links can be rapidly characterized, conducting both extensive lab experiments for validation as well as realizations of the software as additions to popular open source web serving and video streaming software. The proposed work centers on taking advantage of the intrinsic aggregation properties of most modern wireless systems. Through the clever use of sliced, structured, and reordered packet trains, the proposed work operates within existing TCP constructs to deliver accurate network characterization from 0-10 Mb/s in under 250 ms while requiring less than 100 KB of bandwidth. The net result is an characterization that presents that Available Bandwidth on the end-to-end path with minimal network and energy cost. In addition to the impacts of the software, multiple PhD graduate students will be trained, multiple REU (Research Experience for Undergraduate) students in under-represented groups will be mentored, and results will be disseminated through top tier publications. Final broader impacts include releasing extensive tutorials through an YouTube for the broader public on wireless issues.

无线技术已经成为我们现代国民经济的关键部分。随着越来越多的用户、设备和服务严重依赖WiFi和蜂窝服务的混合，了解我们的国家无线基础设施是否能满足未来的需求变得非常重要。不幸的是，用于理解这种环境的工具已经严重落后，并且不适应现代无线技术。这项工作的重点是弥合这一差距，以在处理WiFi和蜂窝方面实现重大改进。这项研究旨在提供比当前技术快十倍的仪器，同时最大限度地减少电池消耗或影响其他用户。拟议的工作进一步探讨是否可以实现这样的仪器完全免费，利用工作的移动终端目前已经在做，但简单地忽略。这项研究将创建新的软件开发工具包，为应用程序开发人员提供一个现成的无线工具箱，以巧妙地改进当今可用的大量应用程序。拟议的工作旨在探索现代WiFi和蜂窝链路可以快速表征的程度，进行广泛的实验室实验验证以及实现软件作为流行的开源网络服务和视频流的补充软件拟议的工作中心利用大多数现代无线系统的固有聚合属性。通过巧妙地使用切片，结构化和重新排序的数据包序列，所提出的工作在现有的TCP结构中运行，在250 ms内提供0-10 Mb/s的准确网络特性，同时需要不到100 KB的带宽。最终结果是一个表征，它以最小的网络和能源成本呈现端到端路径上的可用带宽。除了软件的影响，多个博士研究生将接受培训，多个REU（本科生研究经验）学生在代表性不足的群体将得到指导，结果将通过顶级出版物传播。最终更广泛的影响包括通过YouTube为更广泛的公众发布有关无线问题的广泛教程。

项目成果

Sniffing Only Control Packets: A Lightweight Client-Side WiFi Traffic Characterization Solution

• DOI: 10.1109/jiot.2020.3041671
• 发表时间: 2021-04
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Lixing Song;A. Striegel;Alamin Mohammed

Swipe along: a measurement study of short video services

• DOI: 10.1145/3524273.3528186
• 发表时间: 2022-06
• 期刊: Proceedings of the 13th ACM Multimedia Systems Conference
• 作者: Shangyue Zhu;Theo Karagioules;Emir Halepovic;Alamin Mohammed;A. Striegel

CUP: Cellular Ultra-light Probe-based Available Bandwidth Estimation

CUP：基于蜂窝超轻探头的可用带宽估计

• DOI: 10.1109/iwqos52092.2021.9521270
• 发表时间: 2021
• 期刊: International Workshop on Quality of Service (IWQoS
• 作者: Song, Lixing;Halepovic, Emir;Mohammed, Alamin;Striegel, Aaron
• 通讯作者: Striegel, Aaron

A Lightweight Scheme for Rapid and Accurate WiFi Path Characterization

一种快速、准确的 WiFi 路径表征的轻量级方案

• DOI: 10.1109/icccn.2018.8487433
• 发表时间: 2018
• 期刊: Proc. of ICCCN
• 作者: Song, Lixing;Striegel, Aaron
• 通讯作者: Striegel, Aaron

A Frame-Aggregation-Based Approach for Link Congestion Prediction in WiFi Video Streaming

• DOI: 10.1109/icccn49398.2020.9209675
• 发表时间: 2020-08
• 期刊: 2020 29th International Conference on Computer Communications and Networks (ICCCN)
• 作者: Shangyue Zhu;Alamin Mohammed;A. Striegel