[hpc-announce] IFIP WG 7.3 PERFORMANCE 2021 - Extended Deadline

Fri May 14 14:48:01 CDT 2021

***Due to the requests we received, the Performance 2021 main conference
deadlines have been extended by one week.***

IFIP WG 7.3 PERFORMANCE 2021
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 (extended)
* Full paper submission: May 24th, 2021 (extended)
* 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We solicit papers describing original and previously unpublished research.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 are listed on the Performance 2021 web site at
https://www.performance2021.deib.polimi.it/?page_id=37