活动简介

Announcement: SIGMETRICS 2021 to go virtual

Under the current circumstances of the COVID-19 pandemic, global traveling and meeting have been heavily restricted and difficult. Although we very much hope to provide an opportunity for the community to gather in person in Beijing in June 2021, the health and safety of the community is our first priority. Thus, the SIGMETRICS committee has decided that the ACM SIGMETRICS 2021 conference will be held as a fully virtual event, at the scheduled dates (June 14-18, 2021).

We are committed to organizing a successful conference for the community. We will update the virtual event arrangement details soon. Please let us know if you have any concerns and suggestions regarding the arrangements.

Thank you very much!
On behalf of the ACM SIGMETRICS 2021 Organizing Committee,
Longbo Huang

组委会
General Chair Longbo Huang (Tsinghua University)
   
TPC Chairs Anshul Gandhi (Stony Brook University)
  Negar Kiyavash (EPFL)
  Jia Wang (AT&T Labs Research)
   
Publication Chair Bo Ji (Virginia Tech)
   
Workshops Chairs Patrick Loiseau (INRIA)
  Kuang Xu (Stanford University)
   
Tutorials Chairs Srinivas Shakkottai (Texas A&M University)
  Lei Ying (University of Michigan)
   
Student Activities Chair Giulia Fanti (Carnegie Mellon University)
   
Registration Chair Zhenhua Liu (Stony Brook University)
   
Publicity Chair Gauri Joshi (Carnegie Mellon University)
   
Local Arrangement Chair Zhixuan Fang (Tsinghua University)
  Wenfei Wu (Tsinghua University)
   
Finance Chair Mingyu Gao (Tsinghua University)
   
Web Chair Zhixuan Fang (Tsinghua University)
征稿信息

重要日期

2021-01-29
摘要截稿日期
2021-02-05
初稿截稿日期
2021-03-30
初稿录用日期

The 2021 ACM SIGMETRICS conference will be held in Beijing, China, June 14-18, 2021.

We solicit papers on the development and application of state-of-the-art, broadly applicable analytic, simulation and measurement-based performance evaluation techniques. The conference provides 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 systems and networks. Of particular interest is work that presents new performance evaluation methods, or that creatively applies previously developed methods to make predictions about, or gain insights into key design trade-offs in a variety of computing, networked, and cyber-physical systems, ranging from mobile devices and Internet-of-Things (IoT) applications to large-scale cloud computing systems and the smart grid.

Papers that are accepted to present at the conference will appear in the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). All accepted and eligible papers will be considered, by a panel of reviewers, for the Best Paper Award and the Kenneth C. Sevcik Outstanding Student Paper Award. Additionally, a selection of the accepted papers, as identified by a panel of reviewers, may be nominated for publication as Research Highlights in the Communications of the ACM (CACM).

征稿范围

We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following.

Quantitative measurement, design and evaluation studies of:

Computer and communication networks, protocols and algorithms

Wireless, mobile, ad-hoc and sensor networks, IoT applications

Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks

High Performance Computing

Operating systems, file systems and databases

Virtualization, data centers, distributed and cloud computing, fog and edge computing

Mobile and personal computing systems

Energy-efficient computing systems

Real-time and fault-tolerant systems

Security and privacy of computing and networked systems

Software systems and services, and enterprise applications

Social networks, multimedia systems, Web services

Cyber-physical systems, including the smart grid

Methodologies, formalisms, metrics, solution techniques and algorithms for:

Analytical modeling techniques and model validation

Workload characterization and benchmarking

Performance, scalability, power and reliability analysis

Sustainability analysis and power management

System measurement, performance monitoring and forecasting

Anomaly detection, problem diagnosis and troubleshooting

Capacity planning, resource allocation, run time management and scheduling

Experimental design, statistical analysis, simulation

Game theory, network economics, and platform design

Big data, machine learning, AI, data mining, graph analysis, optimization

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重要日期
  • 会议日期

    06月14日

    2021

    06月18日

    2021

  • 01月29日 2021

    摘要截稿日期

  • 02月05日 2021

    初稿截稿日期

  • 03月30日 2021

    初稿录用通知日期

主办单位
ACM (Association for Computing Machinery)
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