-------- Forwarded Message -------- Subject: [AISWorld] CFP IFIP PERFORMANCE 2021: 39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation Date: Mon, 1 Mar 2021 20:18:58 -0500 From: Weina Wang weinaw@cs.cmu.edu To: aisworld@lists.aisnet.org
Apologies if you receive multiple copies of this initial call for papers. Please forward this initial CFP to your colleagues, networks and contacts who might be interested.
IFIP WG 7.3 PERFORMANCE 2021 39th International Symposium on Computer Performance, Modeling, Measurement and Evaluation November 8th to 12th, 2021, Milan, Italyhttps://www.performance2021.deib.polimi.it/
Overview
The IFIP Performance conference aims to bring together researchers interested in understanding and improving the performance of computing and communication systems by means of state-of-the-art quantitative models and solution techniques. Research papers on the design of algorithms, mathematical analysis and modeling, simulation and measurement techniques for computer systems or communication networks are solicited. 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.
Important dates
* Abstract submission: May 9th, 2021
* Full paper submission: May 16th, 2021
* Notification to authors: July 19th, 2021
Topics
We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following.
Performance-oriented methodologies including:
* Analytical modeling techniques and model validation
* Anomaly detection, problem diagnosis and troubleshooting
* Capacity planning, resource allocation, routing, scheduling and quality of service
* Experimental design, statistical analysis, simulation
* Game theory, network economics, and platform design
* Machine learning, data mining, graph analysis, optimization
* Performance, scalability, power and reliability analysis
* Stochastic modelling, statistical analysis and simulation
* Sustainability analysis and power management
* Complex networks, sorting and ranking
* System measurement, performance monitoring and forecasting
* Workload characterization and benchmarking
Evaluation techniques, and algorithms for:
* Artificial intelligence and machine learning platforms
* Blockchains and crypto-currency
* Computer architectures and operating systems
* Cyber-physical systems, internet of things, and smart grids
* Data centers, content delivery, cloud computing and virtualization
* High performance computing
* Internet and web services
* Mobile and personal computing systems
* Network architectures, protocols and congestion control
* Network economics and platform design
* Privacy and algorithmic fairness
* Security systems
* Storage systems and data centers
* Social networks, multimedia systems and smart grid
* Virtualization, data centers, distributed and cloud computing, fog and edge computing
* Quantum computing and quantum communication
* Wireless, ad-hoc and cellular networks
Conference Format
Under the current circumstances of the COVID-19 pandemic, global traveling and meetings have been heavily restricted and difficult. It is not still clear what the conditions will be in November. We very much hope to provide an opportunity for the community to gather in person in Milan, however the conference will allow both the authors of accepted papers and the attendees to connect from remote and attend live the sessions streamed from Politecnico di Milano site. Different registration fees, for remote attendees and people attending in person, will be available.
Paper Submission
Performance 2021 accepts submissions in two categories:
* Regular papers: 20 pages
* Short papers: 10 pages
Format of Regular Paper Submissions:
Regular papers should not exceed 20 pages, in single-column acmsmall template format (with the default 10pt font size, the template can be found at https://www.acm.org/publications/proceedings-template), for technical content (including all tables and figures). Authors may supplement their paper with an appendix, whose length 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., 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.
Accepted regular papers will be published in a special issue of the Performance Evaluation (PEVA). Additionally, an extended abstract will be published in a special issue of the ACM Performance Evaluation Review (PER).
Authors may opt-out of publication in PEVA in favor of submission to other special issues in journals related to Performance Evaluation and Operations Research. See the Special Issues section below for details.
Format of Short Paper Submissions:
Short papers are limited to 10 pages, in single-column acmsmall template format (with the default 10pt font size), for technical content (including all tables and figures). Authors may supplement their paper with an appendix, whose length 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., 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.
Accepted short papers will be published in a special issue of the ACM Performance Evaluation Review (PER).
Instructions for All Submissions:
Papers must be submitted through hotCRP (https://performance2021.hotcrp.com) in printable pdf form. 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.
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. Please refer to the anonymity guidelines below in the Polices section for more information.
Authors must declare 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. When you declare your conflict of interest with the TPC members, consider as a conflict:
* Colleagues of your same institutions (and this is automatically tracked by the submission system);
* Advisor-advisee;
* Your co-authors in last three years;
* Other relationships, such as close personal friendship, that you think might tend to affect your judgment or be seen as doing so by a reasonable person familiar with the relationship.
Authors of rejected Sigmetrics 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 Sigmetrics reviewers to aid consistency. The authors are allowed to include a response to the Sigmetrics reviews in a clearly-marked appendix that will not count against the page limit. Submissions rejected at Performance 2021 will be offered a similar resubmission model at Sigmetrics 2022.
Special Issues
By default accepted regular papers will be published in a special issue of the Performance Evaluation (PEVA) journal. Additionally, an extended abstract will be published in a special issue of the ACM Performance Evaluation Review (PER). However, authors may opt-out of publication in PEVA in favor of an expedited review process in journals related to Performance Evaluation and Operations Research.
Eligible papers are:
* extensions of short-papers and
* long papers that opt-out of publication in PEVA.
Authors need to make sure that their work falls within the scope of the respective journal and can seek assistance from the TPC chairs with this determination. All papers will be reviewed according to the standards of the journal. In all cases, it is required that the conference version of the paper published in PER should be no more than 6 pages.
An expedited review process of accepted papers will be provided by the following journals: ACM Transactions on Modeling and Performance Evaluation of Computer Systems (ToMPECS), Queueing Systems: Theory and Application (QUESTA), 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 but also notify the Editor-in-Chief and submit the paper with an authors response to the IFIP Performance reviews.
Policies
* Soft tracking: Starting this year, Performance 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 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.
* Anonymity guidelines: IFIP Performance 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 IFIP Performance on a related topic, reference it as follows: "A related paper describes the design and implementation of our compiler [Anonymous 2021]." with the corresponding citation: "[Anonymous 2021] 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.
* Publication of a pre-submission version of the submission on your personal website, institutional archive, or the arXiv is allowed. We strongly 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 submission stage and the final camera-ready stage. The PC Chairs must be notified in the event such a change is desired.
* 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 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.
* Simultaneous submissions are not allowed, i.e., the same paper can not be 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. This applies to all papers, i.e., even authors who wish to opt out of publication of the full paper can only submit to a journal after they have received a decision from Performance.
* 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, unless otherwise permitted by the authors (for example, if considering a resubmission to ACM Sigmetrics).
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.
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.
Inclusivity Guidelines: 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.
Accessibility Guidelines: 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 color 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.
ORGANIZING COMMITTEE
General Chair Danilo Ardagna, Politecnico di Milano, Italy
TPC Chairs Adam Wierman, California Institution of Technology, USA Vishal Misra, Columbia University, USA
Steering Committee Sem Borst (Vice-Chair, IFIP WG 7.3), TU Eindhoven and Bell Labs NOKIA Mark Squillante (Chair, IFIP WG 7.3), IBM Research Benny Van Houdt (Secretary, IFIP WG 7.3), University of Antwerp
Publication Chair Zhenhua Liu, Stony Brook University, USA
Workshop Chair Evgenia Smirni, College of William and Mary, USA
Tutorial Chairs Michela Meo, Politecnico Torino, Italy Marco Mellia, Politecnico Torino, Italy Martino Trevisan, Politecnico Torino, Italy
Travel grant Chairs Anton Braverman, Kellogg, Northwestern University, USA Marco Gribaudo, Politecnico di Milano, Italy Riccardo Lancellotti, Università di Modena e Reggio Emilia, Italy Ana Paula Couto da Silva, Universidade Federal de Minas Gerais, Brazil
Publicity Chairs Manjesh Kumar Hanawal, IIT Bombay, India Marco Paolieri, University of Southern California, USA Cristina Rottondi, Politecnico Torino, Italy Daniel Sadoc Menasche, Federal University of Rio de Janeiro, Brazil Weina Wang, Carnegie Mellon University, USA
TPC Members TPC members will be forthcoming soon on the Performance 2021 web site at https://www.performance2021.deib.polimi.it/?page_id=37 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org