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CNS Core: Small: A Hardware/Software Infrastructure for Secured Multi-Tenancy in FPGA-Accelerated Cloud and Datacenters

CNS Core: Small: A Hardware/Software Infrastructure for Secured Multi-Tenancy in FPGA-Accelerated Cloud and Datacenters
CNS 核心:小型:用于 FPGA 加速云和数据中心中安全多租户的硬件/软件基础设施
批准号:
2007320
负责人:
Christophe Bobda
金额:
$48.0万
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 2024-09-30

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中文摘要
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英文摘要
With increasing world-wide use of cloud-based computing resources it is more than ever necessary to have efficient, reliable, secured, and power-efficient datacenters. In order to cope with the versatile demand in social media, content streaming, banking, shopping, and high-performance computation, data centers must accommodate heterogeneous architectures to cope with the versatility in computing. FPGA devices have been recently introduced in cloud infrastructure to provide acceleration for critical applications in artificial intelligence, imaging, high-performance, and cryptography, with reduced power consumption. Unfortunately, current cloud providers are still assigning entire FPGAs to single customers, which leads to underutilization and increases in power consumption and costs. The primary reason is the lack of secured and stable approaches to enable the sharing of FPGA-resources among multiple cloud tenants, many of whom could be malicious.This project aims at addressing the problem of multi-tenancy in FPGA-accelerated clouds and datacenters by providing the architecture and mechanisms for the efficient sharing of FPGA devices among multiple users. Specifically, the investigators will design and implement 1) hardware and software virtualization technologies for the integration of segments of the same hardware into cloud hypervisors, 2) isolation framework based on the NSA-developed Flux Advanced Security Kernel (FLASK) to extend domain separation from software threads and virtual machines down to provisioned hardware accelerators, and 3) temporal and spatial management approaches of the hardware resources, from the admission control to the execution on the FPGA device. The resulting cloud management framework will be made available to schools, colleges, communities and commercial entities to facilitate the adoption of heterogeneous cloud infrastructure that incorporates FPGAs. While the 20-node FPGA-accelerated cloud installed at the University of Florida will be used as testbed throughout the project, it will also serve as a vehicle to develop new classes and provide training to students, both on and off-campus. In this regard, the investigators will increase efforts to recruit and engage under-represented groups using existing resources such as the George Washington Carver Research program and the Florida-Caribbean Louis Stokes Regional Center of Excellence.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(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/asap49362.2020.00030
发表时间: 2020-06
期刊: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP)
影响因子: --
作者: [Joel Mandebi Mbongue;Alex Shuping;Pankaj Bhowmik;C. Bobda]
通讯作者: Joel Mandebi Mbongue;Alex Shuping;Pankaj Bhowmik;C. Bobda
Domain Isolation in FPGA-Accelerated Cloud and Data Center Applications
FPGA 加速云和数据中心应用中的域隔离
DOI: 10.1145/3453688.3461527
发表时间: 2021
期刊: Proceedings of the 2021 on Great Lakes Symposium on VLSI. 2021
影响因子: --
作者: [Mandebi Mbongue, Joel, Saha, Sujan Kumar, Bobda, Christophe]
通讯作者: Bobda, Christophe
DOI: 10.1109/ipdpsw52791.2021.00025
发表时间: 2021-06
期刊: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
影响因子: --
作者: [Danielle Tchuinkou Kwadjo;Joel Mandebi Mbongue;C. Bobda]
通讯作者: Danielle Tchuinkou Kwadjo;Joel Mandebi Mbongue;C. Bobda
Accommodating Multi-Tenant FPGAs in the Cloud
在云中容纳多租户 FPGA
DOI: 10.1109/fccm48280.2020.00045
发表时间: 2020
期刊: ." 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM
影响因子: --
作者: [Mbongue, Joel Mandebi, Bobda, Christophe]
通讯作者: Bobda, Christophe
9
    Travel: NSF Student Travel Grant for The 32nd IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM 2024)
    • 批准号:
      2411045
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.5万
    • 财政年份:
      2024
    • 负责人:
      Christophe Bobda
    • 依托单位:
    Collaborative Research: SHF: Medium: Heterogeneous Architecture for Collaborative Machine Learning
    • 批准号:
      2106610
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $40.0万
    • 财政年份:
      2021
    • 负责人:
      Christophe Bobda
    • 依托单位:
    NSF Student Travel Grant for 2020 IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM 2020)
    • 批准号:
      2016161
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.5万
    • 财政年份:
      2020
    • 负责人:
      Christophe Bobda
    • 依托单位:
    Collaborative Research: SHF: Small: Decentralized Edge Computing Platform for Privacy-Preserving Mobile Crowdsensing
    • 批准号:
      2007210
    • 项目类别:
      Standard Grant
    • 资助金额:
      $15.58万
    • 财政年份:
      2020
    • 负责人:
      Christophe Bobda
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