Award Abstract # 2412676
Travel: Student Travel Grant for the 2024 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF WISCONSIN SYSTEM
Initial Amendment Date: February 12, 2024
Latest Amendment Date: February 12, 2024
Award Number: 2412676
Award Instrument: Standard Grant
Program Manager: Marilyn McClure
mmcclure@nsf.gov
 (703)292-5197
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: February 15, 2024
End Date: January 31, 2025 (Estimated)
Total Intended Award Amount: $35,000.00
Total Awarded Amount to Date: $35,000.00
Funds Obligated to Date: FY 2024 = $35,000.00
History of Investigator:
  • Qiaomin Xie (Principal Investigator)
    qiaomin.xie@wisc.edu
Recipient Sponsored Research Office: University of Wisconsin-Madison
21 N PARK ST STE 6301
MADISON
WI  US  53715-1218
(608)262-3822
Sponsor Congressional District: 02
Primary Place of Performance: University of Wisconsin-Madison
21 N PARK ST STE 6301
MADISON
WI  US  53715-1218
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): LCLSJAGTNZQ7
Parent UEI:
NSF Program(s): CSR-Computer Systems Research
Primary Program Source: 01002425DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7556
Program Element Code(s): 735400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The ACM Sigmetrics 2024 conference will occur jointly with IFIP Performance conference, which is the flagship conference of the IFIP working group WG7.3 on performance modeling and analysis. Every 3 years or so, the two conferences join, and the 2024 edition is the 16th joint conference. The ACM Sigmetrics / IFIP Performance 2024 will be held at San Servolo Congress Center, Venice, Italy between June 10-14,2024. The SIGMETRICS conference is primarily focusing on the performance analysis, measurement, and modeling of networked computer systems. ACM SIGMETRICS is one of the top venues for researchers to exchange scientific information and ideas. ACM SIGMETRICS aims to provide a high-quality forum for presenting results and discussing ideas that further our knowledge and understanding of the measurement, modeling, analysis, and design of computing and networked systems. The conference interprets computer systems broadly, including traditional computing systems as well as social networks, data networks, and other types of systems. Contributions containing highly original ideas, new approaches, and/or ground-breaking results are particularly encouraged.

This grant provides travel support for about 25 US based students to attend the SIGMETRICS 2024 conference. The support will make possible the participation of students who would otherwise be unable to attend the conference. Particular attention will be paid to directing support towards various underrepresented population. SIGMETRICS brings together professionals from a wide variety of academic and industrial backgrounds; student participants will thus get the opportunity to interact with mentors and peers of varying gender, ethnicity, and background. Students will also benefit from the student-centric events, including a student workshop/panel and a student research competition.

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.

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.

SIGMETRICS is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) for the computer performance evaluation community; it holds an annual conference by the same name focused on performance modeling, measurement, and analysis of computer systems. The ACM SIGMETRICS 2024 conference occurred jointly with IFIP Performance conference, which is the flagship conference of the IFIP working group WG7.3 on performance modeling and analysis. Every 3 years or so, the two conferences join, and the 2024 edition is the 16th joint conference. The ACM SIGMETRICS / IFIP Performance 2024 was held at San Servolo Congress Center, Venice, Italy between June 10-14, 2024.

The SIGMETRICS 2024 Student Travel Grant (together with the remaining support from IFIP WG7.3 Performance 2023) supported 23 students studying at U.S. universities to attend the conference. In doing so, it fostered intellectual merit and broader impacts within the field.

Intellectual Merit

The grant significantly contributed to the intellectual value of the conference by supporting the participation of 23 students.

 

Five of these students participated in the third annual SIGMETRICS Student Research Competition (SRC), where the student had the opportunity to present their research and receive valuable feedback from experienced researchers to enhance the intellectual depth of their projects. These projects covered a broad spectrum of topics, including the theoretical analysis of federated learning in unknown dynamics, an empirical study of quantum noise for diffusion model, and new analytical techniques for queueing systems. Of the five student travel awardees who participated in the SRC, three received awards, with one undergraduate student winning the 1st Place.

Additionally, 14 of the supported students presented papers either at workshops or the main conference. These presentations spanned a wide array of topics, highlighting the grant's success in promoting intellectual diversity. The presentations not only showcased the students’ contributions but also ignited meaningful discussions and collaborations among participants. Notably, three recipients earned best paper awards at the conference, including two Best Paper Winners and one Best Student Paper Award Winner.

 

The intellectual impact of the grant is further demonstrated by the active participation of the attendees in various sessions, workshops, and community events. These interactions with leading researchers and scholars provided the students with valuable perspectives, promoting intellectual growth and broadening their understanding of the latest developments in their respective fields.

 

Broader Impacts

The SIGMETRICS 2024 Student Travel Grant played an important role in promoting broader participation in the SIGMETRICS community. The students supported by the grant came from various backgrounds, representing a wide range of universities and research groups. These students worked on various research areas, including theory, measurement, systems, and learning, and came from institutions of all sizes, geographic location, and focus. Among the grantees, two were undergraduate students (9%) and two were Master's students (9%). The remaining 19 students were pursuing Ph.D.s at the time of the conference.

The grant's support enabled students to present their work at workshops and the main conference, enriching the academic discussions and allowing them to share their research with a broader audience. Several grantees, especially those seeking employment, used the conference as a valuable opportunity to network and showcase their work. This exposure to established researchers, industry professionals, and fellow academics can lead to future collaborations, research opportunities, and career growth.

 

Conclusion

The SIGMETRICS 2024 Student Travel Grant made a significant contribution to both the intellectual merit and broader impacts of the conference. The grant supported the participation of students from various backgrounds and promoted outstanding research contributions. It also provided valuable opportunities for networking and knowledge dissemination. These efforts significantly advanced the fields of performance modeling, measurement, and computer systems analysis.

 


Last Modified: 04/14/2025
Modified by: Qiaomin Xie

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