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Award Abstract # 1737453
SCC-IRG TRACK 2: A Novel Architecture for Secure, Energy-Efficient Community-Edge-Clouds with Application in Harlem (SEEC HARLEM) this proposal
| NSF Org: |
CNS Division Of Computer and Network Systems |
| Awardee: |
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| Initial Amendment Date: | September 11, 2017 |
| Latest Amendment Date: | July 25, 2021 |
| Award Number: | 1737453 |
| Award Instrument: | Standard Grant |
| Program Manager: |
David Corman
dcorman@nsf.gov (703)292-8754 CNS Division Of Computer and Network Systems CSE Direct For Computer & Info Scie & Enginr |
| Start Date: | September 15, 2017 |
| End Date: | August 31, 2022 (Estimated) |
| Total Intended Award Amount: | $999,951.00 |
| Total Awarded Amount to Date: | $1,054,079.00 |
| Funds Obligated to Date: |
FY 2018 = $15,676.00 FY 2019 = $19,826.00 FY 2020 = $18,626.00 |
| History of Investigator: |
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| Awardee Sponsored Research Office: |
888 N Euclid Ave Tucson AZ US 85719-4824 (520)626-6000 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1630 E. University Blvd. Tucson AZ US 85721-0094 |
| Primary Place of Performance Congressional District: |
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| DUNS ID: |
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| Parent DUNS ID: |
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| NSF Program(s): |
S&CC: Smart & Connected Commun, Special Projects - CNS, CPS-Cyber-Physical Systems |
| Primary Program Source: |
040100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT 040100 NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| CFDA Number(s): | 47.070 |
ABSTRACT
This project takes a holistic approach to address the technical, legal, and social challenges facing under-served urban communities experiencing a growing digital divide. A novel community-owned edge cloud computing architecture is investigated that disaggregates the edge equipment for lower cost, improved energy efficiency, simplified management and intrinsically stronger security. The project targets a community within Harlem for initial concept exploration. Indeed, the Harlem community like many diverse urban communities is facing obstacles that extend beyond broadband access and include the entire home, office and IoT/smart city technology eco-system. Beyond the edge cloud, the project will include development of low-cost KVM (Keyboard, Video, and Mouse) systems that will be used by a diverse set of community members to establish proof of concept and performance metrics for the edge cloud, and identify system usability by community especially as it relates to closing the digital divide.
Prototype hardware and software will be developed to study this architecture in both a lab environment, user trials, and in participatory technology assessments by users in the community. Optimal design rules will be derived for urban communities based on experimental performance data and incorporating user constraints and use cases within the Harlem community. Community ownership will be investigated as a means to overcome longstanding legal and social challenges. The community edge cloud will be studied as a constructed commons and governance models will be explored considering different stakeholder relationships. This project will provide a new dimension to and understanding of edge clouds and community network ownership that can be widely applied in smart city environments elsewhere. Disaggregated devices open up the potential for a new breed of consumer interfaces with dramatically lower cost and energy use - as well as simple software and hardware management and security. By virtualizing these technologies within the edge cloud, potentially transformative benefits can be realized. Such technology would provide a powerful tool in combating growing digital divides.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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Kilper, Daniel C. and Adams, Tasha A. and AlAli, Fatma and Williams, Ronald D. and Veeraraghavan, Malathi
"Optical Networks in Edge Clouds: Energy and Application Dimensions"
2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC)
, 2019
10.23919/PS.2019.8817886
Citation Details
Alali, Fatma and Adams, Tasha A. and Foley, Rider W. and Kilper, Dan and Williams, Ronald D. and Veeraraghavan, Malathi
"Methods for Objective and Subjective Evaluation of Zero-Client Computing"
IEEE Access
, v.7
, 2019
10.1109/ACCESS.2019.2925083
Citation Details
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