CAREER: Towards a Marketplace of Networked Services for the Next Billion Devices

职业：迈向下一个十亿设备的网络服务市场

• 批准号: 1751075
• 负责人: Carlee Joe-Wong
• 金额: $ 59.67万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1751075&HistoricalAwards=false
• 关键词: CAREER; Towards; Marketplace; Networked; Services

Multitudes of devices like vehicles and sensors have recently acquired both Internet connectivity and significant computing power. Much networking research today aims to harness these devices to enable new, cross-device user applications. For instance, external sensors may use cellular and Wi-Fi networks to send measurements to a group of smartphones running augmented reality applications; these smartphones can then work together to analyze the sensor data and display the right information to their users. However, applications can only make use of multiple devices if the device owners agree to cooperate with each other. The goal of this work is to enable cross-device applications by developing mechanisms that incentivize such cooperation. The findings from this project will be integrated into an education plan that emphasizes the role of user and application needs in shaping the evolution of Internet-based technologies. This plan includes developing new undergraduate and graduate courses and short workshop courses for middle and high school students that encourage girls to enter engineering fields. The researcher will incorporate the findings in online blog posts aimed at the general public, and will pursue industry collaborations and outreach to interdisciplinary research communities.The proposed work has two main objectives: (1) to derive algorithms for devices to optimally buy and sell bandwidth and computing resources, and (2) to analytically characterize the resulting marketplace outcomes in terms of the benefit to participating devices. It will be divided into three research thrusts that each address both objectives. First, a simple type of marketplace is considered, in which devices can be either users or providers. User devices decide whether to subscribe to bandwidth or computing resources from one or more provider devices. Second, a more dynamic marketplace is considered, in which users can dynamically negotiate for bandwidth and computing resources from providers, depending on their specific needs over time. The third research thrust builds on the user and provider strategies from the first two thrusts, and considers devices that can dynamically decide whether to act as users and providers, so as to maximize their benefits from participating in bandwidth and computing resource marketplaces. Each research thrust will result in new models, theorems, and decision algorithms that account for the dynamics and inter-dependencies of users' bandwidth and computing resource needs. Small-scale human subject experiments and large-scale virtual test-bed experiments will be used to validate the theoretical work.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.

车辆和传感器等大量设备最近获得了互联网连接和重要的计算能力。如今，许多网络研究的目标是利用这些设备来实现新的跨设备用户应用。例如，外部传感器可以使用蜂窝和Wi-Fi网络将测量结果发送到一组运行增强现实应用程序的智能手机;然后这些智能手机可以共同分析传感器数据并向用户显示正确的信息。然而，应用程序只能在设备所有者同意相互合作的情况下使用多个设备。这项工作的目标是通过开发激励这种合作的机制来实现跨设备应用程序。该项目的研究结果将纳入一项教育计划，该计划强调用户和应用需求在影响基于因特网的技术发展方面的作用。该计划包括为初中和高中学生开设新的本科和研究生课程以及短期讲习班课程，鼓励女孩进入工程领域。研究人员将把研究结果发表在面向公众的在线博客文章中，并将寻求行业合作和跨学科研究社区的推广。拟议的工作有两个主要目标：（1）推导出设备最佳购买和出售带宽和计算资源的算法，以及（2）从参与设备的利益角度分析所产生的市场结果。它将分为三个研究重点，每个解决这两个目标。首先，考虑一种简单类型的市场，其中设备可以是用户或提供商。用户设备决定是否从一个或多个提供者设备订阅带宽或计算资源。其次，考虑一个更动态的市场，其中用户可以动态地从提供商那里协商带宽和计算资源，这取决于他们随着时间的推移的特定需求。第三个研究重点建立在前两个重点的用户和提供商策略的基础上，并考虑可以动态决定是否作为用户和提供商的设备，以便最大限度地提高他们参与带宽和计算资源市场的利益。每一个研究方向都将产生新的模型、定理和决策算法，这些模型、定理和决策算法将解释用户带宽和计算资源需求的动态性和相互依赖性。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning

• DOI: 10.1109/iwqos57198.2023.10188807
• 发表时间: 2023-06
• 期刊: 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)
• 作者: Weijie Liu-;Xiaoxi Zhang;Jingpu Duan;Carlee Joe-Wong;Zhi Zhou;Xu Chen

Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions

数据网：无需订阅即可实现无缝、按流量计费且值得信赖的互联网连接

• 发表时间: 2021
• 期刊: Proceedings of IEEE ICC Workshops
• 作者: Harishankar, Madhumitha;Zuo, Jinhang;Iyer, Sriram Venkateswaran;Tague, Patrick;Joe-Wong, Carlee
• 通讯作者: Joe-Wong, Carlee

Fog-based Data Offloading in Urban IoT Scenarios

• DOI: 10.1109/infocom.2019.8737503
• 发表时间: 2019-04
• 期刊: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
• 作者: P. Kortoçi;Liang Zheng;Carlee Joe-Wong;M. D. Francesco;M. Chiang

Machine Learning on Volatile Instances

• DOI: 10.1109/infocom41043.2020.9155448
• 发表时间: 2020-03
• 期刊: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
• 作者: Xiaoxi Zhang;Jianyu Wang;Gauri Joshi;Carlee Joe-Wong

A Community Platform for Research on Pricing and Distributed Machine Learning

定价和分布式机器学习研究的社区平台

• DOI: 10.1109/icdcs47774.2020.00117
• 发表时间: 2020
• 期刊: 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS
• 作者: Li, Xuanzhe;Gomena, Samuel;Ballard, Logan;Li, Juntao;Aryafar, Ehsan;Joe-Wong, Carlee
• 通讯作者: Joe-Wong, Carlee