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
批准号:
2028889
负责人:
Xun Jiao
金额:
$5.0万
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 2022-09-30
中文摘要
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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(7)
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DOI:
10.1145/3489517.3530395
发表时间:
2022-07
期刊:
Proceedings of the 59th ACM/IEEE Design Automation Conference
影响因子:
--
作者:
[Ruixuan Wang;Xun Jiao;X. S. Hu]
通讯作者:
Ruixuan Wang;Xun Jiao;X. S. Hu
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks
简短的行业论文:HDAD:基于超维计算的汽车传感器攻击异常检测
DOI:
10.1109/rtas52030.2021.00052
发表时间:
2021
期刊:
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS
影响因子:
--
作者:
[Wang, Ruixuan, Kong, Fanxin, Sudler, Hasshi, Jiao, Xun]
通讯作者:
Jiao, Xun
DOI:
10.23919/date51398.2021.9474069
发表时间:
2021-02
期刊:
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
影响因子:
--
作者:
[Dongning Ma;Rahul Thapa;Xingjian Wang;Xun Jiao;Cong Hao]
通讯作者:
Dongning Ma;Rahul Thapa;Xingjian Wang;Xun Jiao;Cong Hao
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling
ScaleHD:通过自适应缩放实现鲁棒的类脑超维计算
DOI:
10.1145/3508352.3549376
发表时间:
2022
期刊:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
影响因子:
--
作者:
[Zhang, Sizhe, Imani, Mohsen, Jiao, Xun]
通讯作者:
Jiao, Xun
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI
用于超高效边缘人工智能的类脑超维计算
DOI:
10.1109/codes-isss55005.2022.00017
发表时间:
2022
期刊:
2022 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS
影响因子:
--
作者:
[Amrouch, Hussam, Imani, Mohsen, Jiao, Xun, Aloimonos, Yiannis, Fermuller, Cornelia, Yuan, Dehao, Ma, Dongning, Barkam, Hamza E., Genssler, Paul R., Sutor, Peter]
通讯作者:
Sutor, Peter
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Collaborative Research: Machine Learning-assisted Modeling and Design of Approximate Computing with Generalizability and Interpretability
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批准号:2202310
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项目类别:Standard Grant
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资助金额:$19.32万
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财政年份:2022
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负责人:Xun Jiao
-
依托单位:
国内基金
海外基金
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Research on Quantum Field Theory without a Lagrangian Description
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批准号:24ZR1403900
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项目类别:省市级项目
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资助金额:--
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批准年份:2024
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负责人:SATOSHI NAWATA
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依托单位:
Cell Research
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批准号:31224802
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项目类别:专项基金项目
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资助金额:24.0万元
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负责人:程磊
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依托单位:
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批准号:31024804
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2010
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负责人:程磊
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依托单位:
Cell Research (细胞研究)
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批准号:30824808
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2008
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负责人:张爱兰
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依托单位:
Research on the Rapid Growth Mechanism of KDP Crystal
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批准号:10774081
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项目类别:面上项目
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资助金额:45.0万元
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批准年份:2007
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负责人:滕冰
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依托单位: