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Collaborative Research: PPoSS: Planning: S3-IoT: Design and Deployment of Scalable, Secure, and Smart Mission-Critical IoT Systems

Collaborative Research: PPoSS: Planning: S3-IoT: Design and Deployment of Scalable, Secure, and Smart Mission-Critical IoT Systems
协作研究:PPoSS:规划:S3-IoT:可扩展、安全和智能的关键任务物联网系统的设计和部署
批准号:
2028875
负责人:
Song Han
金额:
$4.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-03-31

项目摘要

项目成果

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中文摘要
翻译
传感、计算和通信设备的能力不断增强,导致物联网(IoT)基础设施的爆炸式增长。与此同时,自主系统和人工智能等技术的进步有望带来巨大的经济和社会效益。当然,希望在物联网基础设施中部署这些技术。然而,对于医疗、能源、交通和工业自动化系统等关键任务应用中规模日益扩大的物联网基础设施来说,这种部署带来了令人生畏的变化。这些挑战源于可伸缩性方面的几个主要方面。首先,边缘设备的数量可能非常庞大,通常达到数十亿,这使得集中管理变得不可行。其次,存在多层异质性。物联网系统可以由异构计算子系统组成;每个子系统可以有异构计算设备;每个单独的设备可以由不同种类的计算组件组成。第三,关键任务应用程序在正确性、弹性、及时性、安全性和安全性方面有严格的要求。由于对抗活动的机会增加,大型物联网系统很难满足这些要求。为了应对这些挑战,该项目旨在开发一个跨层和完整的硬件/软件堆栈解决方案,称为S3-IoT框架,用于设计和部署可扩展,安全和智能的关键任务物联网系统。S3-IoT框架将跨越三个不同的计算层,包括数据中心、网关/聚合器和边缘设备,并涵盖四个研究重点,即资源管理、安全和隐私、计算机体系结构/系统和算法。在这个规划项目中,将开发S3-IoT框架的初始版本。S3-IoT框架将(i)利用分层结构——数据中心、网关/聚合器和边缘设备来容纳大量的边缘设备;(ii)发展跨层技术,以处理这些层之间的异质性;(iii)提出硬件和软件协同设计方法,这些方法包括计算组件之间的异构性,以提高单个层内所有组件的性能。将通过开发具有分层结构的模拟器以及小型综合实验试验台来评估S3-IoT框架。该规划项目的成功将为关键任务物联网系统和基础设施的有效部署提供一条令人信服的道路,特别是在提高对环境不确定性、系统内部错误和故障以及恶意攻击的弹性方面。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The growing capabilities of sensing, computing and communication devices are leading to an explosion of Internet of Things (IoT) infrastructures. In the meantime, advances in technologies such as autonomous systems and artificial intelligence promise enormous economic and societal benefits. Naturally, it is desirable to deploy these technologies in IoT infrastructures. However, such deployments present daunting changes for increasingly scaled-up IoT infrastructures in mission-critical applications such as medical, energy, transportation, and industrial-automation systems. These challenges stem from several major aspects in terms of scalability. First, the number of edge devices can be enormous, often in the order of billions, which makes centralized management infeasible. Second, there are multiple layers of heterogeneity. An IoT system can consist of heterogeneous computing subsystems; each subsystem can have heterogeneous computing devices; and each single device can be composed of different kinds of computing components. Third, mission-critical applications have stringent requirements in correctness, resilience, timeliness, security and safety. It is difficult for a large-scale IoT system to satisfy these requirements due to increasing opportunities for adversarial activity.To tackle these challenges, this project aims to develop a cross-layer and full hardware/software stack solution, referred to as the S3-IoT framework, for the design and deployment of scalable, secure, and smart mission-critical IoT systems. The S3-IoT framework will span three different computation layers, including data centers, gateways/aggregators, and edge devices, and cover four research foci, i.e., resource management, security and privacy, computer architecture/systems, and algorithms. In this planning project, an initial version of the S3-IoT framework will be developed. The S3-IoT framework will (i) leverage a layered structure - data centers, gateways/aggregators, and edge devices to accommodate the huge number of edge devices; (ii) develop cross-layer techniques to deal with the heterogeneity among these layers; and (iii) propose hardware and software co-design approaches that embrace the heterogeneity among computing components to improve the performance of all components within an individual layer. The S3-IoT framework will be evaluated by developing simulators with the layered structure as well as a small scale, comprehensive experimental testbed. The success of this planning project will lead to a convincing path to effective deployment of mission-critical IoT systems and infrastructures, particularly in terms of improving resilience to environmental uncertainties, system internal errors and faults, and malicious attacks.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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
APaS: An Adaptive Partition-Based Scheduling Framework for 6TiSCH Networks
APaS:6TiSCH 网络的自适应分区调度框架
DOI: 10.1109/rtas52030.2021.00033
发表时间: 2021
期刊: the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS
影响因子: --
作者: [Wang, Jiachen, Zhang, Tianyu, Shen, Dawei, Hu, Xiaobo Sharon, Han, Song]
通讯作者: Han, Song
DOI: 10.1109/tmc.2022.3196922
发表时间: 2023-11
期刊: IEEE Transactions on Mobile Computing
影响因子: 7.9
作者: [Tianyu Zhang;Tao Gong;Mingsong Lyu;Nan Guan;Song Han;X. Hu]
通讯作者: Tianyu Zhang;Tao Gong;Mingsong Lyu;Nan Guan;Song Han;X. Hu
DOI: 10.1109/rtcsa55878.2022.00014
发表时间: 2022-08
期刊: 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
影响因子: --
作者: [Dawei Shen;Tianyu Zhang;Jiachen Wang;Qingxu Deng;Song Han;X. Hu]
通讯作者: Dawei Shen;Tianyu Zhang;Jiachen Wang;Qingxu Deng;Song Han;X. Hu
DOI: 10.1109/icdcs54860.2022.00103
发表时间: 2022-07
期刊: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
影响因子: --
作者: [Jiachen Wang;Tianyu Zhang;Dawei Shen;Xiao Hu;Song Han]
通讯作者: Jiachen Wang;Tianyu Zhang;Dawei Shen;Xiao Hu;Song Han
Collaborative Research: SHF: Medium: Heterogeneous Architecture for Collaborative Machine Learning
Collaborative Research: PPoSS: LARGE: Principles and Infrastructure of Extreme Scale Edge Learning for Computational Screening and Surveillance for Health Care
Collaborative Research: PPoSS: Planning: Principles for Edge Sensing and Computing for Personalized, Precision Healthcare at National Scale
RAPID: Preventing the Spread of Coronavirus with Efficient Deep Learning
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)