Award Abstract # 1361806
I/UCRC: NSF Net-centric and Cloud Software and Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF NORTH TEXAS
Initial Amendment Date: April 10, 2014
Latest Amendment Date: April 18, 2018
Award Number: 1361806
Award Instrument: Continuing Grant
Program Manager: Behrooz Shirazi
bshirazi@nsf.gov
 (703)292-8343
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: April 15, 2014
End Date: March 31, 2021 (Estimated)
Total Intended Award Amount: $575,232.00
Total Awarded Amount to Date: $1,108,794.00
Funds Obligated to Date: FY 2014 = $317,729.00
FY 2015 = $256,098.00

FY 2016 = $337,312.00

FY 2017 = $181,655.00

FY 2018 = $16,000.00
History of Investigator:
  • Krishna Kavi (Principal Investigator)
    krishna.kavi@unt.edu
  • Robert Akl (Co-Principal Investigator)
Recipient Sponsored Research Office: University of North Texas
1112 DALLAS DR STE 4000
DENTON
TX  US  76205-1132
(940)565-3940
Sponsor Congressional District: 13
Primary Place of Performance: University of North Texas
1155 Union Circle
Denton
TX  US  76203-5017
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): G47WN1XZNWX9
Parent UEI:
NSF Program(s): Special Projects - CNS,
IUCRC-Indust-Univ Coop Res Ctr,
International Research Collab
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01001516DB NSF RESEARCH & RELATED ACTIVIT

01001617DB NSF RESEARCH & RELATED ACTIVIT

01001718DB NSF RESEARCH & RELATED ACTIVIT

01001718RB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 8039, 8808, 8237, 9251, 5761, 5977, 5922, 1800, 116E, 170E
Program Element Code(s): 171400, 576100, 729800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The NSF Net-centric and Cloud Software and Systems Industry/University Cooperative Research Center (NCSS I/UCRC) is a multi-university cooperative established in 2009 with a collaborative research partnership between the University of North Texas (UNT) and the University of Texas at Dallas (UTD), with Southern Methodist University (SMU) as an affiliated academic site. The original academic sites (UNT and UTD, with SMU as an affiliated member) will complete Phase I in February 2014 and are seeking to continue operations as Phase II I/UCRC sites. The research focus of the NCSS I/UCRC is on cost-effective methods of enabling the rapid design and deployment of highly efficient and dependable net centric and cloud hardware/software systems that must operate in various environments subject to potentially stringent response time, power, heat, security and resource constraints. By combining the diverse capabilities and expertise of the participating academic institutions and the real-world experiences of engineers from well-known innovative high tech companies, the center will enhance the research capabilities of all the participants. The NCSS I/UCRC will develop innovative and practical technologies for modeling, analysis, design, implementation, verification and validation, deployment, and evolution of a variety of net-centric and cloud systems. This systems-oriented research is aimed at enabling the coordinated hardware/software development of highly dependable integrated net-centric and cloud systems.

The NCSS I/UCRC research will enable industry to develop and leverage emerging net-centric and cloud computing platforms and infrastructures. The industrial sectors that benefit from the center include defense, energy, transportation, health care, commerce, homeland security, and emergency preparedness/emergency response industries. The Center has actively worked with the Metroplex Technology Business Council (MTBC) Innovation Group in Dallas/Fort Worth metropolitan area and led to the creation of a new MTBC Special Interest Group (SIG) in the area of cloud computing. The NCSS I/UCRC will continue to provide education and training of students to meet our nation?s future workforce needs in these rapidly emerging and evolving technology areas. Many of the software tools, and infrastructure (e.g., sensors labs) developed at UNT site were made available to students in various courses such as sensor networks (with 30 students per year), computer architecture (with 40 students per year). The UTD site developed courses on cloud computing systems, Internet of Things, programming and optimization of applications on heterogeneous multicore systems, power management for multi-core systems, and other NCSS related topics. Over 60 students have enrolled in these courses over the past 3 years. A significant growth in enrollments in these courses is anticipated. The Center activities also have and will continue to provide real-world research experience for several graduate and undergraduate students as well as international education and research collaboration in this area with some faculty and students from universities in China, France, Germany, Italy, Taiwan, and Turkey.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 14)
Charles Shelor and Krishna Kavi "Dataflow based near data computing achieves excellent energy efficiency" International symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART 2017) , 2017
Charles Shelor, James Buchanan and Krishna Kavi "Potential energy savings through eliminating unnecessary writes in the cache-memory hierarchy" IJCA , v.21 , 2014 , p.178 http://csrl.cse.unt.edu/~kavi/Research/IJCA-2014
Charles Shelor, Krishna Kavi, "Reconfigurable Dataflow Graphs For Processing-In-Memory" IEEE 20th International Conference on Distributed Computing and Networking (ICDCN-2019) , 2019 https://csrl.cse.unt.edu/kavi/Research/ICDCN-2019.pdf
Chia-en Lin and K. Kavi. "A QoS-Aware BPEL Framework for Service Selection and Composition Using QoS Properties" International Journal On Advances in Software , v.6 , 2013 , p.56 http://csrl.cse.unt.edu/~kavi/Research/IJAS-2013.pdf
C-Y. Lee, P. Kamongi, K. Kavi and M. Gomathisankaran "Optimus: Framework of vulnerabilities, attacks, defenses, SLA and Privacy Ontologies" International Journal of Next-Generation Computing , v.6 , 2015
K. Kavi, S. Pianelli, G. Pisano and G. Regina. "Memory organizations for 3D DRAMs and PCMs in processor memory hierarchy" Journal of Systems Architecture , v.61 , 2015 , p.531 10.1016/j.sysarc.2015.07.00
Mahzabeen Islam, Shashank Adavally, Marko Scrbak, Krishna Kavi "On-the-Fly Page Migration and Address Reconciliation for HeterogeneousMemory Systems" ACM Journal of Emerging Technology and Computing Systems , v.6 , 2020 , p.10.2 https://doi.org/10.1145/3364179
M. Rezaei and K. Kavi "ABT and SBT revisited: Efficient memory management techniques for object-oriented and web-based applications" International Journal of Science and Technology , v.23 , 2016 , p.1217
M. Scrbak, M. Islam, K. Kavi, M. Ignatowski, N. Jayasena "Exploring the processing in memory design space" Journal of Systems Architecture , 2016 , p.10.1016/j 10.1016/j.sysarc.201
Rohit Yanambaka, Nathaniel Brown, Rohan Maheswwari and Krishna Kavi "A Domain-Agnostic Framework for Secure Design and Validation of CPS systems" International Journal on Advances in Security , v.13 , 2020 , p.136-148 1942-2636
Rohit Yanambaka, Rohan Maheshwari, Krishna Kavi "SIMON: Semantic inference model for security in CPS using ontologies" 14th International Conference on Software Engineering Advances (ICSEA-2019 , 2019 , p.49 https://csrl.cse.unt.edu/kavi/Research/ICSEA-2019.pdf
(Showing: 1 - 10 of 14)

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.

This project supported the continuation of the NSF Net-centric and Cloud Software and Systems (NCSS) Industry/University Cooperative Research Center (I/UCRC). The center included the University of North Texas (lead), the University of Texas at Dallas, and Arizona State University.  It also included Southern Methodist University as an affiliated site.

The intellectual merit of this project is the development of cost-effective methods of enabling rapid design and deployment of highly efficient net-centric and cloud hardware/software systems that must operate in various environments subject to potentially stringent response time, power, security, and other resource constraints. Many of these goals were achieved as can be evidenced from a combined effort of all academic sites over a seven-year period leading to over 300 publications, a dozen patents either filed or granted, more than 150 graduate and undergraduate students and more than 25 faculty that participated in the various research activities undertaken by the center. The majority of the center’s research funding, averaging more than one million dollars per year was funded by memberships from more than 20 industrial organizations.

 Some key outcomes included software tools for capturing and analyzing cybersecurity threats, secure information sharing in IoT and cloud environments, improving performance of heterogeneous memory systems, and machine learning techniques for signal processing. The research results have been very impressive for all the industrial members.  Based on one research project, a PhD student started a new company immediately after graduating with the PhD degree.  The new company was very successful from the beginning and has been a member of the center since 2017 and supported some new research projects.  The center has also continued to actively work with the Dallas-Fort Worth Metroplex Technology Business Council  (MTBC) in the MTBC Special Interest Group (SIG) in the area of cloud computing and another SIG in the area of Internet of Things (IoT) technologies.  The research results have also been used to create new courses related to emerging research areas, including a course on Internet of Things, a course on Cloud Computing Systems, a course on Language-Based Security, and a course on Advanced Programming Languages.  All these courses are essential to the development of state-of-the-art systems in secure IoT and Cloud Computing applications.  Also, the projects have been used to introduce several high school students to current research projects in the area of drone technologies and smart vehicle systems.

Broader Impacts: In addition to the impact on the educational and research training of the students that participated in the research activities, the project also involved researchers from industrial member organizations. Since the majority of the research was based on the industrial needs, many of the outcomes have impacted the direction and products produced by member organizations. 

 


Last Modified: 05/08/2021
Modified by: Krishna M Kavi

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