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ACM Internet Measurement Conference 2023

October 24-26, 2023, Montreal, Canada

https://conferences.sigcomm.org/imc/2023/

Paper registration: May 20, 2023

Paper submission: May 26, 2023

Early reject notification: July 14, 2023

Notification: August 18, 2023

Submission Site: https://imc2023.hotcrp.com/.

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The Internet Measurement Conference (IMC) is a highly selective venue for the presentation of measurement-based research in data communications. As we are in the era of data-driven research, IMC 2023 will focus on improving the standard in the collection, usage, and sharing of network measurements for the research community. Despite the efforts in stimulating reproducibility of research as well as sharing of data, little progress has been made in our community to make research data open. Therefore, without fundamentally changing the topics in scope compared to previous years, our attention when assessing contributions will be particularly on the willingness of the authors to share their data and make their work reproducible.

New this year: To encourage data sharing and reproducibility, authors will be required to make a declaration on artifact availability (full, partial, or no availability) for the submitted work. Since legitimate reasons (such as proprietary and privacy reasons) may prevent authors from sharing artifacts, papers will be assessed based on whether the contributions warrant acceptance despite the lack of artifact availability. In the case of no availability of artifacts, the authors are expected to explain why this is the case in a specific section. Artifact submission is not required at the paper submission time. All papers accepted to the program will be shepherded to ensure that the artifacts promised have been made available.

IMC takes a broad view of contributions that are considered in scope for improving the practice of network measurement, including, but not limited to:

• collection and analysis of data that yield new insights about network structure and network performance (e.g., traffic, topology, routing, energy utilization, performance)
• collection and analysis of data that yield new insights about application and end-user behavior (e.g., economics, privacy, security, application interaction with protocols)
• measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks, causality)
• methods and tools to monitor and visualize network-based phenomena
• systems and algorithms that build on measurement-based findings
• Theoretical analysis and modeling of networked-systems and measurement techniques
• Novel methods for data collection, analysis, and storage (e.g., anonymization, querying, sharing)
• reappraisal of previous empirical network measurements and measurement-based conclusions
• descriptions of challenges and future directions the measurement community should pursue

Networks of interest include:

• Internet transit networks
• edge networks, including home networks, broadband access networks (e.g., cable, fiber), and cellular networks
• data center networks and cloud computing infrastructure
• peer-to-peer, overlay, and content distribution networks
• software-defined networks
• online social networks
• online services, platforms, and content providers
• experimental networks, prototype networks, and future internetworks

Review process and criteria

IMC 2023 invites two forms of submissions:

• Full papers (up to 13 pages for text and figures + unlimited pages for references and appendix) that describe original research, with succinctness appropriate to the topics and themes they discuss.
• Short papers (up to 6 pages for text and figures + unlimited pages for references and appendix) that convey work that is less mature but shows exciting promise, OR offer results that do not merit a full submission. Short papers could articulate a high-level vision and describe challenging future directions that the authors believe the community should tackle; validate, verify, or update important results; or present new ideas that challenge existing assumptions.

Any submission exceeding the short paper page-length limit will be evaluated as a full paper.

Authors should submit only original work that has not been published before and is not under submission to any other venue. We will consider full paper submissions that extend previously published short, preliminary papers (including IMC short papers), in accordance with the SIGCOMM policy and the ACM Plagiarism Policy. The ACM policy on simultaneous submissions does not consider technical reports (including arXiv) to be concurrent publication or submission.

IMC 2023 will bestow two awards on paper submissions, (1) a Best Paper award; and (2) a Community Contribution award. The best paper award will recognize the outstanding paper at the conference, and all accepted papers are eligible for it. The community contribution award will recognize a paper with an outstanding contribution to the community in the form of a new dataset, source code distribution, open platform, or other noteworthy service to the community. To be eligible for the community award, the authors must make data or source code publicly available or have a software artifact that is accessible and usable by the public at the time of the camera-ready deadline. The authors indicate their eligibility on the submission form and are also encouraged to include a link to the contribution in the submitted paper.

A few accepted papers may be forwarded for fast-track submission to IEEE/ACM Transactions on Networking.

Anonymity Guidelines

Authors are expected to 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).

Anonymization of important details are not required, if they are critical for the evaluation of the paper. For example, system names may be left de-anonymized, if the system name is important for a reviewer to be able to evaluate the work, and the paper may point to existing public datasets and artifacts that highlight or underscore the contributions outlined in the paper.

Please follow the following guidelines:

Author names and affiliations must not appear on any submission. Identifying information such as grant numbers must not be included on submissions. The text of the submission must refer to the authors’ own previous work in the third person, unless the previous work provides important context for evaluation of the existing contribution (e.g., the paper describes an implementation or deployment of a method previously developed by the same authors). Authors are explicitly allowed to post their submissions on Arxiv or other public websites, and reviewers will be discouraged from searching for such listings while a submission is under review. However, authors are strongly discouraged from engaging in publicity for their papers while they are under review, unless doing so is in the public interest (e.g., responsible disclosure). Authors who are unsure of whether they are allowed to publicize their double-blind submissions should contact the program committee co-chairs at [log in to unmask].

More information about the CFP: https://conferences.sigcomm.org/imc/2023/cfp/

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Eirini Eleni Tsiropoulou, Assistant Professor

Computer Engineering Vice Chair

Director of Recruiting and Admissions

Department of Electrical and Computer Engineering

University of New Mexico Albuquerque, NM, 87131

Office: 326B

Tel.: (505)-277-5501

Email: [log in to unmask]

Website: PROTON Lab

PROTON Lab’s News: @Tsiropoulou_EE

“Those who know, do. Those that understand, teach.” ~ Aristotle