
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | July 24, 2017 |
Latest Amendment Date: | November 19, 2021 |
Award Number: | 1743363 |
Award Instrument: | Cooperative Agreement |
Program Manager: |
Deepankar Medhi
dmedhi@nsf.gov (703)292-2935 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | October 1, 2017 |
End Date: | September 30, 2022 (Estimated) |
Total Intended Award Amount: | $9,688,325.00 |
Total Awarded Amount to Date: | $9,688,325.00 |
Funds Obligated to Date: |
FY 2018 = $2,558,508.00 FY 2019 = $1,296,230.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
201 PRESIDENTS CIR SALT LAKE CITY UT US 84112-9049 (801)581-6903 |
Sponsor Congressional District: |
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Primary Place of Performance: |
50 CENTRAL CAMPUS DR SALT LAKE CITY UT US 84112-9205 |
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): | CISE Research Resources |
Primary Program Source: |
01001819DB NSF RESEARCH & RELATED ACTIVIT 01001920DB 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
This project seeks to extend the capabilities and capacity of the Cloudlab compute cloud in the second phase of the NSFCloud program. Since CloudLab began service in mid-2015, this experimental research infrastructure has become a critical experimental resource for the computer science research community. CloudLab has served over 2,000 users in over 39,000 experiments spanning more than 400 projects, with experimenters coming from nearly every state. The Cloudlab project continues to increase its support of computing for the domain science research communities, and support of technology transfers to commercial cloud technology providers and users.
The proposed Phase II activity seeks to expand the testbed capacity and capabilities through 11 enumerated hardware and software extensions to satisfy the growing needs of leading computer science systems researchers. The three major areas of new technology investments are in 1) new cloud networking technology, 2) support for new cloud architectures, and 3) increased programmability in cloud network data planes.
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.
This project continues and expands the popular CloudLab facility, first funded under grant CNS-1419199, by addressing specific categories of user needs: (1) Adding capabilities to support research on the frontiers of cloud computing. For example, common requests from CloudLab users include deep control over switching infrastructure, programmable network interfaces and other user-programmable accelerators, and advanced monitoring capabilities. (2) Adding significant capacity to the CloudLab facility to alleviate concerns around research infrastructure availability during periods of high demand. (3) Evolving CloudLab as a platform for building community resources. Here, the project facilitated sub-communities within the large CloudLab user community to self-organize and share resources; supported richer environments for describing complex, evolving experiments; and provided a world-class set of tools to further repeatable research within the Computer Science community. (4) CloudLab has turned out to be an attractive platform for enabling the future of cyberinfrastructure for science. The project supported other CI projects by partnering with the NSF PAWR program and actively assisting other NSF projects such as CyVerse.
Intellectual merit: Because the research done by CloudLab's is a primary "result" from the platform, the project personnel have put more effort into automating the way that we find published research that uses the platform. For instance, the project implemented a system that uses the Scopus scientific publication database to automate finding these publications. This system does two searches: one for "CloudLab" in the text of papers and citations to the main CloudLab papers; and another that searches for users in our database. To make sure that the right users have been found, the portal shows the user one of the publications found for "them" and asks for confirmation.
Broader impact: CloudLab has revolutionized how computer systems research is performed. Every major computer systems conference, including OSDI, SOSP, NSDI, and SIGCOMM, includes several papers whose empirical results have used CloudLab infrastructure as their primary testbed. CloudLab has also played a significant role in supporting education, by providing compute resources to support courses taught across the world, notably in helping develop and scale large popular courses, such as “Big Data Systems” at UT Austin and UW Madison. Likewise, CloudLab has played an important role in helping with experimental research on standing up large compute to aid in the analysis of large datasets in domain science applications.
Last Modified: 02/12/2023
Modified by: Aditya Akella
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