Call for Papers

Overview

The 2027 ACM SIGMETRICS conference will be held as part of the ACM Federated Computing Research Conference (FCRC) in Atlanta, GA, June 7-11, 2027.

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, quantum computing/communication, 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 Award and the Stephen S. Lavenberg and 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).

Topics

We solicit papers describing original and previously unpublished research.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

Machine Learning and AI

• Machine learning and AI: Theory
• Machine learning and AI: Empirical studies and applications
• Machine learning for systems
• Systems for machine learning

Measurement & Applied Modeling

• Anomaly detection, problem diagnosis, and troubleshooting
• System measurement, performance monitoring, and forecasting
• Experimental design, statistical analysis, simulation
• Workload characterization and benchmarking

Systems

• Computer and communication networks: protocols and algorithms
• Computer architecture, hardware accelerators, multi-core processors, memory systems and storage networks
• Cloud computing, fog, and edge computing systems
• Energy-efficient and carbon-aware computing systems
• Mobile and personal computing systems
• Operating systems, file systems, and databases
• Real-time and fault-tolerant systems
• Security and privacy of computing and networked systems
• Software systems and services, and enterprise applications
• Wireless, mobile, ad-hoc and sensor networks, IoT applications

Theory

• Analytical modeling techniques and model validation
• Capacity planning, resource allocation, and scheduling
• Control theory
• Game theory, network economics, and platform design
• Graph algorithms and analysis
• Queueing theory and applications

Emerging Topics and Application Areas

• Blockchain and cryptocurrency
• Cyber-physical systems, including smart grids
• High-performance computing
• Quantum computing and communication
• Reproducibility and replicability (tools and methodology)
• Social networks, multimedia systems, Web services
• Sustainability and power management

Important Dates

There are three submission opportunities over the course of the year.

• Summer: sigmetrics27summer.hotcrp.com
  • Registration of abstract: July 3, 2026
  • Paper submission: July 10, 2026
  • Notification: September 9, 2026
• Fall: sigmetrics27fall.hotcrp.com
  • Registration of abstract: October 2, 2026
  • Paper submission: October 9, 2026
  • Notification: December 9, 2026
• Winter: sigmetrics27winter.hotcrp.com
  • Registration of abstract: January 4, 2027
  • Paper submission: January 11, 2027
  • Notification: March 10, 2027

Deadlines are hard and at 23:59 pm AoE (Anywhere on Earth).

Papers may be submitted to any deadline and, upon acceptance, papers will be scheduled for publication in the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS) and presentation at the ACM SIGMETRICS conference. The journal publication of accepted papers will appear in the issue of POMACS immediately following acceptance; i.e., papers that are accepted for the Summer and Fall deadlines will appear in POMACS before the conference.

Submission Instructions

Papers must be submitted electronically in printable pdf form via the submission site posted on this page. All submissions should satisfy the following requirements:

• Soft tracking: SIGMETRICS uses “soft” tracking to better match reviewers with submitted papers and to more clearly define the scope of submissions. All submissions, regardless of the selected track, will be treated equally in terms of acceptance criteria and review guidelines. Authors must select a track from among the ones listed on the submission website when submitting their paper. Optionally, a second track may be selected only for papers with a strong inter-disciplinary element. For authors who have difficulty selecting a track, the PC chairs will be available to provide advice. The five tracks adopted for SIGMETRICS 2027 (for all three deadlines) are:
  • Learning. Papers in this track make progress on either (i) the design and analysis of machine learning and AI algorithms, broadly defined, or (ii) the application of tools from machine learning and AI, broadly defined, to the design, control, and optimization of computing, networked, social, or cyber-physical systems. The areas of interest include, but are not limited to, learning theory, online learning, reinforcement learning, deep learning, trustworthy learning (causality, fairness, privacy), and distributed learning, as well as their applications to systems.
  • Measurement & Applied Modeling. Papers in this track make an empirical or applied contribution. They often either (i) draw significant insights from real or synthetic data through access to new data sources or experiments, or through novel analysis of existing data sources; and/or (ii) propose and apply a new model or simulation tool to capture real-world phenomena. Papers in this track may present general-purpose measurement or simulation methodologies, or may focus on a specific application domain, or a particular technology, and explain data obtained from measurements of that domain or technology.
  • Systems. Papers in this track make a contribution to the design, implementation, and/or practical evaluation of computing, networked, social, or cyber-physical systems. A good submission to this track will make a contribution to the modeling and performance analysis of the system prior to empirical validation. The areas of interest include, but are not limited to networking, distributed systems, computer architecture, wireless networks, edge/IoT applications, high-performance computing, cloud computing, energy efficiency, real-time and fault-tolerant computing, security and privacy, social networks,cyber-physical systems, and the smart grid. System papers with a strong machine learning and AI focus are encouraged to apply to the Learning track.
  • Theory. Papers in this track make progress on existing theoretical problems, propose new ones, or introduce significant new analysis techniques. The areas of interest include but are not limited to, stochastic processes & applied probability, graph theory, scheduling & resource allocation, queueing theory, caching theory, algorithms, mathematical optimization, control theory, market design & game theory, privacy & security, network science, and algorithmic fairness.
  • Operational Systems Track. This track seeks papers describing production-scale systems that are in significant use in a real-world setting. Papers in this track should focus on principled measurement, modeling, and metrics pertaining to the system. Papers in this track need not necessarily present new ideas as judged by the “academic novelty” standard that we traditionally use for research paper submissions. Good papers could present how known ideas work in practice, how design principles scale (or do not scale) to large production-scale systems, prove (or, disprove) existing assumptions with real-world data, bring out new performance modeling problems from real-world systems to the attention of the research community, etc. The paper must describe “lessons learned” in the context of prior approaches known in the literature. Accepted papers in this track will be published as a regular paper along with papers in the research track. Submissions must be anonymous, but, due to their nature, may reveal the name of the deploying organization or the deployed system.
• In addition to tracks, authors must select one or more topics from a list provided in the submission site.
• The submission may have up to 20 pages, in single-column acmsmall template format, for technical content (including all tables and figures), plus unlimited pages for references. No changes to margins, spacing, or font sizes are allowed from those specified by the style files. If you are using the LaTeX template, please use the following option: \documentclass[acmsmall, screen, review]{acmart}. Papers violating the formatting guidelines will be returned without review. Additionally, authors may supplement their paper with an appendix, whose length is not constrained. However, it may only be used for the purpose of justifying the technical correctness of the claims stated in the body of the paper, e.g., a subset of the proofs or additional experimental validation. Note that the novelty of the submission will be judged based on the technical content of the paper and the reviewers are not obliged to read the appendix.
• Reviewing is double anonymous (also known as double blind); please do NOT include your name or affiliation on the submission. The Operational Systems Track has a slightly different policy: if needed, it may reveal the name of the deploying organization or the deployed system. Please refer to the anonymity guidelines below in the Policies section.
• Authors must truthfully declare all conflicts with program committee members on the submission page. If a paper is found to have undeclared conflicts or has listed false conflicts, the paper may be rejected. Conflicts include shared institutional affiliations, collaborations (joint research, authorship, or funding) that occurred in the last 24 months before the selected submission deadline or are expected in the near future, past or current PhD student/supervisor relationships, and close personal or family relationships.
• Authors are encouraged to conform to the guidelines provided in the Professional Communication Guidelines section below.

The Reviewing Process

Papers invited to present at the SIGMETRICS conference are journal papers accepted to the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). The reviewing process for submissions is a hybrid of the traditional conference and journal models in computer science. There are three possible outcomes from the first round of submission:

• Accept with Shepherding: Every accepted paper will be shepherded in order to ensure that important suggestions from the reviewers are incorporated into the final version of the paper.
• Reject: If the paper is rejected it may not be resubmitted to any SIGMETRICS deadline within 12 months following the initial submission of the paper.
• Resubmit: For papers that are close to the acceptance threshold, but require a major revision prior to acceptance, the 12-month resubmission ban is waived and a resubmit option is offered. Authors may then resubmit a revision of the paper during one of the next three submission deadlines (this may fall into ACM SIGMETRICS 2028 deadlines). The revision will be treated the same as a new submission and may be reviewed by a different set of reviewers.

Policies

• Anonymity guidelines: ACM SIGMETRICS is double anonymous, meaning that authors should make a good-faith effort to anonymize their papers. As an author, you should not identify yourself in the paper either explicitly or by implication (e.g., through the references or acknowledgments). However, only non-destructive anonymization is required. For example, system names may be left un-anonymized, if the system name is important for a reviewer to be able to evaluate the work. This particularly applies to the Operational Systems Track which may reveal the name of the deploying organization or the deployed system if needed. Specifically, please take the following steps when preparing your submission:
  • Remove authors' names and affiliations from the title page.
  • Remove acknowledgment of identifying names and funding sources.
  • Use care in naming your files. Source file names, e.g., Joe.Smith.dvi, are often embedded in the final output as readily accessible comments.
  • Use care in referring to related work, particularly your own. Do not omit references to provide anonymity, as this leaves the reviewer unable to grasp the context. Instead, a good solution is to reference your past work in the third person, just as you would any other piece of related work.
  • If you need to reference another submission at ACM SIGMETRICS 2027 on a related topic, reference it as follows: "A related paper describes the design and implementation of our compiler [Anonymous 2027]." with the corresponding citation: "[Anonymous 2027] Under submission. Details omitted for double anonymous reviewing."
  • If you cite anonymous work, you should also send the deanonymized reference(s) to the PC chairs in a separate email.
  • Publication of a pre-submission version of the submission on your personal website, institutional archive, or the arXiv is allowed. We encourage the authors to do so as far away as possible from the submission deadline, as potential reviewers may be automatically notified (e.g., if subscribed to receive updates on recently posted papers). In addition, authors should take care not to widely broadcast information about their arXiv submission, for example, on social media forums or a general press release or large mailing lists where PC members in the recipient list or audience can easily identify the authors.
  • PC members and other reviewers are expected to not actively attempt to deanonymize papers. In either case, if there is a breach of double anonymous reviewing, the author and the reviewer should report it to the PC chairs.
  • For accepted papers, it is expected that the list of authors will not change between the last submission and the final camera-ready copy.
• The paper must have a substantive title and abstract. Placeholders are not allowed after the registration deadline. Any submission that does not have a substantive title and abstract by the registration deadline will be rejected without further notice.
• Submissions must present original research. However, previous publication of preliminary work as an extended abstract at a workshop is acceptable as long as the submission includes substantial new material. Further, in such cases, authors should (i) acknowledge their own previous workshop publications with an anonymous citation, and (ii) explain the differences between the SIGMETRICS submission and the prior workshop paper. A rule of thumb is that a prior workshop publication should be at most 6 pages long, not including references.
• AI and LLMs use and disclosure: The use of generative AI (and related tools) to create content is permitted, provided that (a) the submission contains no plagiarized, misrepresented, or falsified content, (b) the resulting work in its totality is an accurate representation of the authors’ underlying work and novel intellectual contributions, rather than primarily the result of the tool’s generative capabilities, (c) the authors accept responsibility for the veracity and correctness of all material in the submission, including any computer-generated material. A submission found to contain factually incorrect/hallucinated content will be summarily rejected. Extent of usage of AI and LLMs must be disclosed in the Methods section. See the new ACM policy on authorship (including disclosure of Generative AI) here for more details.
• Reproducibility: Authors must declare at submission their efforts to ensure the reproducibility of the work: What data, code, and experimental artifacts will be publicly released when the paper is accepted? And where will they be hosted (preferably on services such as Zenodo rather than personal websites to ensure long-term availability), or why not? If accepted, the paper should include a short paragraph in the contribution section in the introduction, which will be verified by the shepherd.
• Simultaneous submission policy: It is ACM policy not to allow simultaneous submissions, where the same paper is concurrently submitted to more than one conference/journal. Any simultaneous submissions detected will be immediately rejected from all conferences/journals involved, and the authors may be blacklisted if multiple such violations are detected, including across conference editions. It is considered a simultaneous submission for a paper that is being considered for a one-shot revision to be submitted to another conference/journal before being withdrawn from the SIGMETRICS process. This applies to all papers, i.e., even authors who wish to opt out of POMACS can only submit to a journal after they have received a decision from SIGMETRICS.
• Shepherding of accepted papers: All accepted papers will undergo a shepherding process. The camera-ready paper must be approved by the shepherd for final publication prior to any upload to the ACM camera-ready management system. No unauthorized changes to the body of the paper or references are allowed in between shepherd approval and camera-ready upload. Violations will be investigated by the conference leadership and may lead to sanctions.
• Extended abstract option: Authors have the option to “opt out” of publication in the ACM POMACS journal if they would like to publish their work in some other journal. Authors who choose this option must still present their work at the conference and undergo shepherding under the same terms as papers that will appear in ACM POMACS. Additionally, a 1-2 page extended abstract of the work must be included in Performance Evaluation Review. This abstract must contain a link to an online version of the full paper that will be maintained for at least 2 years.
• Forward to journal of opt-out papers: For papers that decide to “opt out”, an expedited review process of accepted papers will be provided by the following journals: ACM Transactions on Modeling and Performance Evaluation of Computer Systems, Elsevier Performance Evaluation, INFORMS Operations Research, Stochastic Models, and Stochastic Systems. In each case, after you have notified the TPC Chairs of your decision, you should prepare your manuscript using the same preparation guidelines as standard papers for the journals, indicate in the cover letter that the paper was published at SIGMETRICS, and submit the paper with an authors’ response to the SIGMETRICS reviews. Note that, in all cases, the paper will undergo a separate reviewing process within these journals, and acceptance at SIGMETRICS does not guarantee acceptance of the journal submission.
• Conference attendance: For an accepted paper, at least one co-author must attend the conference in-person to present the paper.
• Video summaries: To increase visibility of accepted papers, we will request the authors for 3-minute video summaries that will be posted on the YouTube channel of SIGMETRICS.
• Papers accompanied by nondisclosure agreement forms will not be considered. All submissions will be treated as confidential prior to publication. Rejected submissions will be permanently treated as confidential.
• To avoid any potential bias, the core conference organizers, including the General Chairs and Program Chairs, will not submit papers to any of the SIGMETRICS submission deadlines in this call for papers. PC members and other Organizing Committee members, however, are allowed to submit their papers.

Important: ACM new open access publishing model

As of January 1, 2026, ACM has fully transitioned to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 2,600 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 76%).

Articles published as extended abstracts do not require APCs. Authors from institutions not participating in ACM Open who opt to publish their work as a full research paper in ACM POMACS will need to pay an APC to publish their papers, unless they qualify for a financial waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the Policy on APC Waivers for Financial Hardship. Additional APC waivers may be offered by SIGMETRICS depending on availability of funds and demand.

Ethical Considerations

Papers describing experiments with users or user data (e.g., network traffic, passwords, social network information), should follow the basic principles of ethical research, e.g., beneficence (maximizing the benefits to an individual or to society while minimizing harm to the individual), minimal risk (appropriateness of the risk versus benefit ratio), voluntary consent, respect for privacy, and limited deception. When appropriate, authors are encouraged to include a subsection describing these issues. Authors may want to consult the Menlo Report for further information on ethical principles, or the Allman/Paxson IMC '07 paper for guidance on ethical data sharing.

Authors must, as part of the submission process, attest that their work complies with all applicable ethical standards of their home institution(s), including but not limited to privacy policies and policies on experiments involving humans. Note that submitting research for approval by one's institution's ethics review body is necessary, but not sufficient—in cases where the PC has concerns about the ethics of the work in a submission, the PC will have its own discussion of the ethics of that work. The PC’s review process may examine the ethical soundness of the paper just as it examines the technical soundness.

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. In particular, authors must follow the basic research and publication principle outlined by the ACM Publications Policies and Procedures and the ACM Code of Ethics and Professional Conduct. Relevant policies regarding the publication and review processes include ACM’s policies on Coercion and Abuse in the Publications Process and on Plagiarism, Misrepresentation, and Falsification.

Professional Communication Guidelines

As part of our efforts at fostering a professional and respectful environment, we provide the following guidelines to assist you when preparing your paper submission and/or your conference presentation.

Writing and Presentation Guidelines: Good technical writing often requires pedagogical examples to explain complex ideas. When crafting such examples, consider the following:

• Use a variety of personal names that reflect global scholarly engagement. For instance, rather than defaulting to conventional pairs like "Alice and Bob," consider names such as "Alex and Jun," or "Esteban, Naveena, Sasha, Sergey, Tuan, Xin," etc.
• Vary the use of pronouns where needed, and avoid relying on a single pronoun throughout.
• Be aware of simplifying assumptions in examples and data tables. For instance, not all individuals have two parents, live in a detached house, own a car, or follow the same cultural or familial structures. When using such categories, ensure they reflect a range of real-world scenarios.

Accessibility Guidelines: Color and hearing perception vary from person to person depending on age, color blindness, distance, visual acuity, etc. Make sure that the contents of your paper are accessible to all, by considering the following:

• Use patterns, symbols, and textures to emphasize and contrast visual elements in graphs and figures, rather than using colors alone. Graphs should be readable in either monochrome or color versions.
• Use a color palette that is designed for the visually-impaired or color-blind people. Avoid poor color combinations such as green/red or blue/purple.

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Contact the SIGMETRICS 2027 PC chairs at sigmetrics27tpcchairs@sigmetrics.org in case of questions or concerns.