Call for Papers
The 2022 ACM SIGMETRICS/Performance conference will be held in Mumbai, India, on June 6-10, 2022.
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.
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).
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).
A note on the ongoing COVID-19 situation
The SIGMETRICS/Performance 2022 conference organizers are monitoring the COVID-19 situation from local authorities and the World Health Organization. The well-being of members of our community, and their families and friends, is an important concern for us. The conference is several months away, and we hope that the COVID-19 emergency will subside and the conference will be held as planned.
SIGMETRICS/Performance 2022 is currently planned as a hybrid (virtual + physical) event. If the state of the pandemic in 2022 does not permit a physical event, the conference will revert to a virtual-only model similar to that of the last edition. Regardless of which model is adopted, authors of accepted papers will be offered an option of presenting their work remotely, and all accepted papers will be published in the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). If the physical edition is held, authors are encouraged to attend in person.
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
There are three submission opportunities over the course of the year.
Summer submission website: sigperf22summer.hotcrp.com
- Abstract registration: August 4, 2021
- Paper submission: August 11, 2021
- Author notification: October 04, 2021
Fall submission website: sigperf22fall.hotcrp.com
- Registration of abstract: October 13, 2021
- Paper submission: October 20, 2021
- Author notification: December 13, 2021
Winter submission website: sigperf22winter.hotcrp.com
- Registration of abstract: January 26, 2022
- Paper submission: February 2, 2022
- Author notification: March 28, 2022
Deadlines are hard and at 11:59 AM (noon) US Eastern Time (New York).
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/Performance 2022 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.
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: Starting this year, SIGMETRICS will use “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 four 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 four tracks adopted for SIGMETRICS/Performance 2022 (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), 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. 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, and cyber-physical systems, including 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.
- Up to 20 pages, in single-column acmsmall template format (with the default 10pt font size), 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. 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 their 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-blind; please do NOT include your name or affiliation on the submission. Please refer to the anonymity guidelines below in the Policies section.
- Authors must declare all conflicts truthfully on the submission page. If a paper is found to have undeclared conflicts or has listed false conflicts, the paper may be rejected.
- Authors of rejected IFIP Performance 2021 papers are invited to submit a revised version of their paper, which would then be reviewed again as new by at least one of its Performance 2021 reviewers to aid consistency. The authors are allowed to include a response to the Performance 2021 reviews in a clearly-marked appendix that will not count against the page limit.
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. This is similar to the “Minor Revision” outcome at a journal.
- One-shot Revision: This is similar to the “Major Revision” outcome in a journal. In such cases, the authors will receive a list of issues that are required to be addressed before the paper can be accepted. Authors may then submit a revision of the paper during one of the next two submission deadlines (possibly ACM SIGMETRICS/Performance 2022 deadlines). The revision should include an author response to the issues raised by the reviewers as part of the appendix of the paper. If the paper is not submitted within this time then any resubmission will be treated as a new paper. The outcome after resubmission of a “one-shot revision” will either be “Accept with Shepherding” or “Reject”. The one-shot revision may be rejected, for example, if the reviewers find that the issues they raised were not satisfactorily addressed in the revision. If the revision is accepted as a poster or rejected then any future revision of it may not be resubmitted to any SIGMETRICS deadline within 12 months following the initial submission 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.
- Anonymity guidelines: ACM SIGMETRICS is double-blind, meaning that authors should make a good faith effort to anonymize 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. 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/Performance 2022 on a
related topic, reference it as follows: "A related paper describes the design and
implementation of our compiler [Anonymous 2022]." with the corresponding
citation: "[Anonymous 2022] Under submission. Details omitted for double-blind
- 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-blind 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. However, papers undergoing a one-shot revision are allowed to add authors between the submissions.
- 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.
- 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.
- 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.
- 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 in 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 is required to contain a link to an online version of the full paper that will be maintained for at least 2 years.
- 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/Performance 2022 submission deadlines. PC members and other Organizing Committee members, however, are allowed to submit their papers.
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 Publication Board's Policies and Procedures and the ACM Code of Ethics and Professional Conduct. Relevant policies regarding the publication and review processes include ACM's policies (i) on the roles and responsibilities in ACM publishing, (ii) on the coercion and abuse in the ACM publications process, and on plagiarism, misrepresentation, and falsification.
Diversity and Inclusiveness
As part of our efforts at fostering diversity and inclusiveness, we provide the following guidelines to assist you when preparing your paper submission and/or your conference presentation.
Good technical writing often requires pedagogical examples to explain complex ideas. These provide an opportunity to promote inclusiveness by challenging implicit biases and assumptions.
- Avoid gender-specific pronouns if possible. Where required, consider interspersing a balance of male ("he", "his"), female (“she”, “her”), and gender-neutral (“they”, “their”) ones.
- Use gender-neutral names in examples. Instead of Alice and Bob, try Alex and Jun. Consider names that reflect a variety of cultural backgrounds: Esteban, Naveena, Sasha, Sergey, Tuan, Xin, and so on.
- Refrain from assuming binary gender. For instance, the “gender” column in a table of data should have more than just “male” and “female” values.
- Be mindful of people's diverse backgrounds. Not everyone has two parents. Not every marriage involves "husband" and "wife". Not everyone lives in a house, or has a car.
Color and hearing perception varies 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 either in monochrome or colour versions.
- Use a color palette that is designed for visually-impaired or color-blind people. Avoid poor color combinations such as green/red or blue/purple.
Contact the SIGMETRICS/Performance 2022 PC chairs at email@example.com in case of questions or concerns.