SIGMETRICS 2019 : ACM SIGMETRICS / IFIP PERFORMANCE 2019
Conference Series : Measurement and Modeling of Computer Systems
Call For Papers
Call for Papers
The 2019 ACM SIGMETRICS / IFIP Performance conference solicits 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 single-track 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. 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 appear in the conference will be published in the new journal: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS).
We solicit papers describing original and previously unpublished research.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, multi-core processors, memory systems and storage networks
Operating systems, file systems and databases
Virtualization, data centers, distributed and cloud 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 enterprise applications
Social networks, multimedia systems, service-oriented architectures and Web services
Large-scale operational systems
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
Quality of service, total cost of ownership and pricing
Experimental design, statistical analysis, simulation
Game theory, network economics, and platform design
Machine learning, big data, and signal processing
There are three submission opportunities over the course of the year.
Summer (submission website)
Registration of abstract: August 13, 2018
Paper submission: August 20, 2018
Author notification: October 8, 2018
Fall (submission website)
Registration of abstract: October 22, 2018
Paper submission: October 29, 2018
Author notification: December 17, 2018
Winter (submission website)
Registration of abstract: February 11, 2019
Paper submission: February 18, 2019
Author notification: April 26, 2019
Deadlines are hard and at 11:59pm 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 2018 conference. The journal publication of accepted papers will appear in the issue of POMACS immediately following acceptance; thus, before the conference for papers that are accepted at the first two submission deadlines.
Submitted papers may not exceed 12 pages in the 2-column ACM format. Figures and tables must be included within the 12 page constraint, but references may extend beyond the 12 pages. Additionally, authors may supplement their paper with an appendix. The length of the appendix is not constrained; however the appendix may only be used for the purpose of justifying the technical correctness of their claims stated in the body of the paper, e.g., the technical details needed for a proof to be self-contained or additional experimental validation.
Papers must be submitted electronically in printable pdf form via the submission site posted on this page.
All submissions will be reviewed using a double-blind review process. The identity of authors and referees will not be revealed to each other. To ensure double-blind reviewing, authors names and affiliations should not appear in the paper and bibliographic references should be made in such a way as to preserve author anonymity.
The Reviewing Process
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 insure 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: Papers where the reviewers see promise, but also issues that need to be addressed before publication, will receive the option of a “One-shot revision”. This is similar to the “Major Revision” outcome at 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 Sigmetrics 2019 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 is treated as a new paper. The outcome after resubmission of a “one-shot revision” will either be “Accept with Shepherding”, "Accept as a Poster", or “Reject”. 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.
Papers must follow the standard ACM format. Templates for the standard ACM format can be found at this link. Authors should use the "sigconf" proceedings template. 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.
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 SIGMETRICS’18 on a related topic, reference it as follows: "A related paper describes the design and implementation of our compiler [Anonymous 2018]." with the corresponding citation: "[Anonymous 2018] Under submission. Details omitted for double-blind reviewing."
If you cite anonymous work, you should also send the deanonymized reference(s) to the PC chairs in a separate email.
Work that extends an author's previous workshop paper is welcome, but authors should (a) acknowledge their own previous workshop publications with an anonymous citation and (b) 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.
Publication of a pre-submission version of the submission on your personal website, institutional archive, or the arxiv is allowed.
Blinding is intended to not be a great burden. If blinding your paper seems too burdensome, please contact the program co-chairs and discuss your specific situation.
It is ACM policy not to allow double submissions, where the same paper is submitted to more than one conference/journal concurrently. Any double submissions detected will be immediately rejected from all conferences/journals involved. It is considered a double 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, including those papers whose authors plan to opt out of POMACS publication to publish in another journal. Thus, authors who wish to opt out of POMACS can only submit to a journal after they have received a decision from Sigmetrics.
Rejected papers may not be resubmitted within 12 months of the initial submission of the work. Any resubmissions within this period will be rejected without review.
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. A rule-of-thumb is that the workshop paper should be no longer than 6 pages in length. See the note above for information on how to ensure double-blind submission in such cases.
Authors have the option to “opt-out” of publication in the ACM POMACS journal if they would like to publish their work in a journal in field outside of computer science. If choosing this option, authors must still present their work at the conference. Additionally, a 1-2 page abstract of the work must be included in the conference proceedings. 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.
Authors uncertain whether their submission meets these guidelines should contact the Program Co-Chairs.
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.
Contact the SIGMETRICS / PERFORMANCE 2019 PC chairs at email@example.com in case of questions or concerns.