Chameleon Phase-IV: A Reconfigurable Experimental Platform for Edge to Cloud Research

Information

  • NSF Award
  • 2431425
Owner
  • Award Id
    2431425
  • Award Effective Date
    10/1/2024 - 3 months ago
  • Award Expiration Date
    9/30/2028 - 3 years from now
  • Award Amount
    $ 6,000,000.00
  • Award Instrument
    Cooperative Agreement

Chameleon Phase-IV: A Reconfigurable Experimental Platform for Edge to Cloud Research

Chameleon is a deeply reconfigurable experimental edge to cloud testbed supporting Computer Science (CS) systems experimentation, education, and emergent applications. The platform consists of three core operating sites, at University of Chicago (UC), Texas Advanced Computing Center (TACC), and the National Center for Atmospheric Research (NCAR), and partners with the Renaissance Computing Institute (RENCI) at the University of North Carolina on networking capability development. The hardware ranges from an investment in diverse high-end datacenter nodes including graphic processing units (GPUs), field programmable gate arrays (FPGAs), and specialized architectures, to single board computers (SBCs) that can be cost-effectively deployed at the edge. Users can reconfigure this hardware at bare-metal level, through virtualization, or container deployment depending on their experimental needs and the used hardware. <br/><br/>In Phase-IV, Chameleon will continue its mission to provide an experimental platform for computer science research and education, and evolve further to better satisfy emergent needs in current research. In particular, the team will implement a flexible combination of bare metal reconfiguration and virtualization in order to support more projects in artificial intelligence (AI) and machine learning (ML), while preserving the bare metal reconfiguration capability for projects that need it. Furthermore, CHI@Edge capability will be extended allowing users to create edge to cloud experimental scenarios, by improving its networking, ease of use, and its ability to support diverse Internet of Things (IoT) peripherals. Lastly, services and interactions will be improved allowing the community to be more productive and impactful, specifically Chameleon’s support for reproducibility and sharing of the digital artifacts and by promoting translational approach to the computer science research. <br/><br/>To use Chameleon or learn more about the system, visit www.chameleoncloud.org. For anyone interested in the development side of the system or the packaging of Chameleon, i.e., CHI-in-a-Box, visit the github repository at https://github.com/ChameleonCloud/chi-in-a-box/wiki. For anyone interested in exploring traces from Chameleon to date, see https://www.scienceclouds.org/cloud-traces/.<br/><br/>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.

  • Program Officer
    Deepankar Medhidmedhi@nsf.gov7032922935
  • Min Amd Letter Date
    7/11/2024 - 5 months ago
  • Max Amd Letter Date
    7/11/2024 - 5 months ago
  • ARRA Amount

Institutions

  • Name
    University of Chicago
  • City
    CHICAGO
  • State
    IL
  • Country
    United States
  • Address
    5801 S ELLIS AVE
  • Postal Code
    606375418
  • Phone Number
    7737028669

Investigators

  • First Name
    Thomas
  • Last Name
    Hauser
  • Email Address
    thauser@ucar.edu
  • Start Date
    7/11/2024 12:00:00 AM
  • First Name
    Haryadi
  • Last Name
    Gunawi
  • Email Address
    haryadi@cs.uchicago.edu
  • Start Date
    7/11/2024 12:00:00 AM
  • First Name
    Katarzyna
  • Last Name
    Keahey
  • Email Address
    keahey@mcs.anl.gov
  • Start Date
    7/11/2024 12:00:00 AM
  • First Name
    Mert
  • Last Name
    Cevik
  • Email Address
    mcevik@renci.org
  • Start Date
    7/11/2024 12:00:00 AM
  • First Name
    Daniel
  • Last Name
    Stanzione
  • Email Address
    dan@tacc.utexas.edu
  • Start Date
    7/11/2024 12:00:00 AM

Program Element

  • Text
    CISE Research Resources
  • Code
    289000

Program Reference

  • Text
    WOMEN, MINORITY, DISABLED, NEC
  • Code
    9102