39th International Symposium on
Computer Performance, Modeling, Measurement and Evaluation
November 8th to 12th, 2021, Milan, Italy
https://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 17th, 2021
* Full paper submission: May 24th, 2021
* Notification to authors: July 19th, 2021
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.
Tutorial participation is free for PhD students. A certificate of
attendance will be provided to all participants. Tutorials will run in
three parallel sessions (more information available at
https://www.performance2021.deib.polimi.it/?page_id=102).
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We solicit papers describing original and previously unpublished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
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 (not including references),
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 (not including references), 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.
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 author's response to the
IFIP Performance reviews.
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. 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.
* 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.
ORGANIZING COMMITTEE
General Chair
Danilo Ardagna, Politecnico di Milano, Italy
TPC Chairs
Vishal Misra, Columbia University, USA
Mariana Olvera-Cravioto, University of North Carolina at Chapel Hill, USA
Adam Wierman, California Institution of Technology, 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
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