| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | August 13, 2018 |
| Latest Amendment Date: | June 15, 2022 |
| Award Number: | 1827243 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Kevin Thompson
kthompso@nsf.gov (703)292-4220 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | August 15, 2018 |
| End Date: | July 31, 2023 (Estimated) |
| Total Intended Award Amount: | $499,964.00 |
| Total Awarded Amount to Date: | $531,964.00 |
| Funds Obligated to Date: |
FY 2019 = $16,000.00 FY 2020 = $16,000.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
100 UNIVERSITY DR PRAIRIE VIEW TX US 77446 (936)261-1689 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
P.O. Box 519 Prairie View TX US 77446-0519 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Campus Cyberinfrastructure |
| Primary Program Source: |
01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB 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 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Prairie View A&M University (PVAMU), a Historically Black College and University, is implementing a Science DMZ to Improve Network on Campus for Research and Education in Agriculture, Science, and Engineering (INCREASE), which is an upgrade to current cyberinfrastructure that allows researchers to effectively work in the fields of Big Data and Data Intensive science. This INCREASE project enables data driven research in the areas of cyber security, high performance computing, computational chemistry, brain imaging, genomics, and bioinformatics. It provides better visualization and collaboration mechanisms for PVAMU researchers from seven departments in three colleges. It leads to better educational resources to train students at a minority serving institution. The INCREASE project specifically ties researchers from four research centers closely together to form a new foundation of campus cyberinfrastructure.
The INCREASE network, bypassing PVAMU-IT's firewall, integrates with existing infrastructure and provides improved connectivity between PVAMU and Internet2 via Lonestar Education and Research Network (LEARN). It also provides high bandwidth interconnectivity to other research universities and High Performance Computing resources nationwide. As part of the network design, the need for Software Defined Networking solutions that can selectively steer Science DMZ traffic around the campus firewall solution as well as look into implementing a deep-packet inspection and Intrusion Prevention Service to route unregistered connections in and out of the Science DMZ is considered. The study and exploration of the INCREASE network can provide guidance for universities of similar scale to pursue and utilize research resources.
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The evolving realm of artificial intelligence and big data applications demands ongoing improvements in computing infrastructure. The incorporation of new facilities plays a pivotal role in advancing next-generation computing. This Campus Cyberinfrastructure project titled "Improve Network on Campus for Research and Education in Agriculture, Science, and Engineering at Prairie View A&M University" has effectively achieved its goal by enhancing the network capacity dedicated to computing research and education at a minority-serving institution.
Prairie View A&M University (PVAMU), classified as a Historically Black Colleges and Universities (HBCU), is expanding its research cyberinfrastructure through this project. Researchers from six departments across three colleges collaborated on diverse topics such as high-performance computing, network cybersecurity, computational biology, and computer vision. Throughout the project implementation years, several joint projects were undertaken, and collaborative proposals were submitted. This collective endeavor nurtured multidisciplinary research and contributed to the university's recent attainment of the R2 Carnegie classification.
The project's accomplishments are multifaceted:
- Implementing a science DMZ in the customized campus research network for better performance.
- Enabling research in big data analytical methods for cyber security, high-performance computing, and digital forensics. Additionally, it played a role in developing tools for computational chemistry, brain imaging, genomics, and bioinformatics, utilizing graphical processing units (GPUs) and Intel Xeon Phi architectures.
- Introducing enhanced visualization and collaboration mechanisms for PVAMU researchers, as well as peers from other academic institutions and industry.
- Providing improved educational resources to train both graduate and undergraduate students at PVAMU.
The project's impact is evident across various dimensions:
- The enhanced network empowers data-intensive research within a minority-serving institution.
- Concepts of cyberinfrastructure and science DMZ were integrated into graduate-level classes at PVAMU.
- Research findings were disseminated through workshops and seminars throughout the project. Notably, the project sponsored REU scholars who later served as XSEDE student campus champions. Master's and Ph.D. students trained and supported by the project successfully completed their thesis and dissertation work.
Last Modified: 11/30/2023
Modified by: Suxia Cui
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