Overview

The 2025 ACM SIGMETRICS conference will be held at Stony Brook University, New York, USA, on June 9-13, 2025.

We solicit papers on the design, modeling, measurement, and performance analysis of computer systems. A good submission typically focuses on a well-motivated problem in computer systems, proposes a principled solution using modeling, measurement, and performance analysis, and empirically validates the solution through simulations and/or implementation. The research may target systems in a broad range of domains, including networking, high-performance computing, machine learning, IoT, cloud, edge, multimedia, mobile, and cyber-physical systems. The work may target diverse system metrics such as latency, throughput, reliability, cost, accuracy, fairness, energy, and carbon footprint.

The conference presents papers that have been accepted to appear in the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). There are multiple deadlines to submit your work in time for a presentation at the conference (see below). A panel of reviewers will consider all accepted and eligible papers for the Best Paper Awards and the Stephen S. Lavenberg and Kenneth C. Sevcik Outstanding Student Paper Awards. 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).

Topics

We solicit papers describing original and previously unpublished research.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, and blockchain networks
    Systems for machine learning, Machine learning for systems
    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 and sustainable 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, metaverse, multimedia systems, Web services
    Cyber-physical systems, including the smart grid
    Quantum computing and communication

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

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