• Call for Contributions: 13th ACM/SPEC International Conference on Perfo

    From =?UTF-8?B?TWFydGluIFN0csOkw59lcg==?@21:1/5 to All on Mon Jul 12 08:55:33 2021
    Call for Contributions ------------------------------------------------------------------------
    ICPE 2022
    13th ACM/SPEC International Conference on Performance Engineering
    Beijing, China
    April 9 - 13, 2022
    Web: https://icpe2022.spec.org/
    Twitter: https://twitter.com/ICPEconf/ ------------------------------------------------------------------------ IMPORTANT DATES (All dates are in 23:59 AoE)

    Double-Blind & in main conference proceedings:
    Research abstracts: Sept 30, 2021
    Research papers: Oct 07, 2021
    Research paper notification: Dec 02, 2021 Industrial/experience abstracts: Sept 30, 2021 Industrial/experience papers: Oct 07, 2021 Industrial/experience paper notification: Dec 02, 2021

    Single-Blind & in main conference proceedings
    Artifact registration: Dec 10, 2021
    Artifact submission: Dec 16, 2021
    Artifact notification: Jan 31, 2022

    Single-Blind & in conference companion as post-proceedings:
    Workshop proposals submission: Oct 07, 2021
    Workshop proposals notification: Oct 17, 2021

    NEW: Data Challenge submission: Jan 15, 2022
    Poster/demo submission: Jan 15, 2022
    Tutorial proposals submission: Jan 15, 2022
    Work-in-progress papers: Jan 15, 2022 ------------------------------------------------------------------------
    Authors and attendees are guaranteed that they can attend and present at ICPE 2022 virtually without traveling to Beijing in cases where the ongoing Covid 19 pandemic does imply travel restrictions or where attendees are concerned about their personal
    health or CO2 emissions. However, we aim at and hope for most attendees and in particular for paper authors to attend the conference physically in Beijing.

    The International Conference on Performance Engineering (ICPE) is the leading international forum for presenting and discussing novel ideas, innovations, trends and experiences in the field of performance engineering. Modern systems, such as big data and
    machine learning environments, data centers and cloud infrastructures, social networks, peer-to-peer, mobile and wireless systems, cyber-physical systems, the Internet of Things or more traditional ones such as web-based or real- time systems, rely
    increasingly on distributed and dynamic architectures and pose a challenge to their end-to-end performance management.

    ICPE brings together researchers and practitioners to report state-of-the-art and in-progress research on performance engineering of software and systems, including performance measurement, modeling, benchmark design, and run-time performance management.
    The focus is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, as well as on the relationship of such metrics to other system properties including but not limited to scalability, elasticity,
    availability, reliability, cost, sustainability, security and privacy. The systems of interest include any type of computing or software system, such as (but not limited to) desktop systems, cloud systems, web-based systems, embedded systems, distributed
    systems and cyber-physical systems. The handling of performance issues at all stages of software and system life cycles is also of interest.

    Topics of interest include, but are not limited to:

    Performance modeling of software:
    * Languages and ontologies
    * Methods and tools
    * Relationship/integration/tradeoffs with other QoS attributes
    * Analytical, simulation and statistical modeling methodologies
    * Machine learning and neural networks
    * Model validation and calibration techniques
    * Automatic model extraction
    * Performance modeling and analysis tools
    * Traceability of software and performance artifacts
    * Control of software performance evolution

    Performance and software development processes/paradigms:
    * Software performance testing
    * Software performance (anti-)patterns
    * Software/performance tool interoperability (models and data interchange formats)
    * Performance-oriented design, implementation and configuration management
    * Software Performance Engineering and Model-Driven Development
    * Gathering, interpreting and exploiting software performance annotations and data
    * System sizing and capacity planning techniques
    * (Model-driven) Performance requirements engineering
    * Relationship between performance and architecture
    * Performance and agile methods
    * Performance in (micro)service-based and serverless systems
    * Software and system scalability and its impact on performance

    Performance measurement, monitoring and analysis:
    * Application tracing and profiling
    * Workload characterization techniques
    * Experimental design
    * Tools and techniques for performance testing, measurement, profiling and tuning,
    * and analysis of the resulting data

    * Performance metrics and benchmark suites
    * Benchmarking methodologies
    * Development of parameterizable, flexible benchmarks
    * Benchmark workloads and scenarios
    * Use of benchmarks in industry and academia

    Run-time performance management and adaptation
    * Machine learning and runtime performance decisions
    * Context modeling and analysis
    * Runtime model estimation
    * Use of models at run-time
    * Online performance prediction
    * Autonomic resource management
    * Utility-based optimization
    * Capacity management

    Power and performance, energy efficiency
    * Power consumption models and management techniques
    * Tradeoffs between performance and energy efficiency
    * Performance-driven resource and power management

    All other topics related to performance of software and systems. ------------------------------------------------------------------------

    Authors are invited to submit original, unpublished papers that are not being considered in another forum. A variety of contribution styles for papers is solicited including: basic and applied research papers for novel scientific insights, industrial and
    experience papers reporting on applying performance engineering or benchmarks in practice, and work-in-progress papers for ongoing innovative work. Different acceptance criteria apply based on the expected content of the individual contribution types.

    === Double Blind Review for Research and Industry/Experience submissions === From this year on, ICPE adopts a double-blind review process for the research & industry/experience tracks (fall deadlines, papers that go into the main conference proceedings). Double-blind reviewing is intended to increase fairness and reduce implicit
    bias during reviewing. Authors are required to make a serious effort to anonymise their PDF submission and declare known conflicts of interest with PC members during submission. We will provide an extensive guideline with FAQ to help the authors with the
    anonymisation of their submission.

    However, most important is that:
    * Submitted PDFs do not contain an author list.
    * Authors do not explicitly point at their own previous work in a way that would disclose their identity (“In previous work [1], we have shown that …”).
    * Submitted PDFs do not contain links to the author’s home institutions, personal websites, or non-anonymous GitHub profiles, e.g., to point at data sets. Data can and should be uploaded to third-party services blinded. Instructions how to upload
    blinded data (which can be unblinded after acceptance) can be found here: https://ineed.coffee/post/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance
    * There are no acknowledgements of named persons or projects in the submitted PDF (evidently, acknowledgements can be added after acceptance). Notably, double-blind reviewing does not preclude submitting work intended for ICPE to preprint services such
    as Arxiv. However, we ask authors to use a clearly different title for their preprint submission than for the PDF submitted to ICPE. The PC chairs retain the right to desk-reject submissions that are not sufficiently anonymised.
    === Double Blind Review for Research and Industry/Experience submissions ===

    Authors will be requested to self-classify their papers according to the provided topic areas when submitting their papers. Submissions to all tracks need to be uploaded to ICPE's submission system and conform to the ACM submission format.

    At least one author of each accepted paper is required to register at the full rate, attend the conference and present the paper. Presented papers will be published in the ICPE 2022 conference proceedings that will be published by ACM and included in the
    ACM Digital Library.

    Authors of accepted research papers are invited to submit an artifact to the ACM/SPEC ICPE 2022 Artifact Track. Artifacts submissions are reviewed single-blind.

    The highest quality papers, judged by multiple relevant factors, will be recognized with an award.

    AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for
    any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

    ------------------------------------------------------------------------ PROGRAM COMMITTEE (RESEARCH PAPERS)

    Cristina L. Abad, ESPOL (WIP/Vision Chair)
    Jose Nelson Amaral, University of Alberta
    Amy Apon, Clemson University
    Varsha Apte, Indian Institute of Technology - Bombay
    Alberto Avritzer, EsulabSolutions, Inc.
    Alexandre Bergel, University of Chile
    Simona Bernardi, Universidad de Zaragoza
    Walter Binder, University of Lugano
    Robert Birke, ABB Research
    Andre Bondi, Software Performance and Scalability Consulting LLC
    Johann Bourcier, Universite de Rennes 1, IRISA, INRIA
    Ivona Brandic, Vienna University of Technology
    Lubomir Bulej, Charles University
    Radu Calinescu, University of York
    Mihai Capota, Intel
    Valeria Cardellini, Universita di Tor Vergata
    Tse-Hsun Peter Chen, Concordia University
    Wenguang Chen, Tsinghua University
    Lucy Cherkasova, ARM Research
    Juergen Cito,TU Wien and Facebook
    Vittorio Cortellessa, University of L'Aquila
    Antinisca Di Marco, University of L'Aquila
    Joerg Domaschka, Ulm University
    Maryam Elahi, Mount Royal University
    Vincenzo Ferme, USI Lugano
    Antonio Filieri, Imperial College London
    Tian Guo, Worcester Polytechnic Institute
    Wilhelm Hasselbring, Kiel University
    Nikolas Herbst, University of Wuerzburg (Co-Chair)
    Andre van Hoorn, University of Stuttgart
    Vojtech Horky, Charles University
    Pooyan Jamshidi, University of South Carolina
    Evangelia Kalyvianaki, University of Cambridge
    Rita Kapur, IIT Ropar, Punjab
    William Knottenbelt, Imperial College London
    Samuel Kounev, University of Wuerzburg
    Heiko Koziolek, ABB Corporate Research
    Diwakar Krishnamurthy, University of Calgary
    Christoph Laaber, University of Zurich
    Patrick P. C. Lee, The Chinese University of Hong Kong
    Philipp Leitner, Chalmers (Co-Chair)
    Marin Litoiu, York University
    Catalina M. Llado, Universitat Illes Balears
    Wes Llyod, University of Washington, Tacoma
    Andrea Marin, Universita Ca'Foscari Venezia
    Daniel Menasce, George Mason University
    Jose Merseguer, Universidad de Zaragoza
    Ningfang Mi, Northeastern University
    Raffaela Mirandola, Politecnico di Milano
    Manoj Nambiar, Tata Consultancy Services
    Vittoria de Nitto Persone, Universita di Tor Vergata
    Dusan Okanovic, Novatec Consulting Gmbh
    Panos Patros, University of Waikato
    Dorina Petriu, Carleton University
    Upsorn Praphamontripong, University of Virginia
    Weiyi Shang, Concordia University
    Norbert Siegmund, Leipzig University
    Evgenia Smirni, College of William and Mary
    Connie Smith, Performance Engineering Services
    Mirco Tribastone, IMT School for Advanced Studies Lucca
    Catia Trubiani, Gran Sasso Science Institute
    Petr Tuma, Charles University
    Katinka Wolter, Freie Universitaet zu Berlin
    Murray Woodside, Carleton University


    Monica Beckwith, Microsoft
    Andreas Brunnert, RETIT GmbH
    Mathew Colgrove, NVIDIA
    Huimin Cui, Institute of Computing Technology, Chinese Academy of Sciences Raphael Eidenbenz, Hitachi ABB Power Grids Research
    Carsten Franke, Munich University of Applied Sciences
    Yaoqing Gao, Huawei (Co-Chair)
    Carolin Heinrich, Hewlett Packard Enterprise
    Vojtěch Horký, Charles University
    João Paulo Labegalini de Carvalho, University of Alberta
    Klaus-Dieter Lange, Hewlett Packard Enterprise
    Ali Omar Abdelazim Mohammed, University of Basel
    Meikel Poess, Oracle Corporation
    Norbert Schmitt, University of Wuerzburg (Co-Chair)
    Mark Stoodley, IBM
    Peng Wu, Facebook
    Teng Yu, Tsinghua University
    Zhibin Yu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

    The PC committees for some tracks are not fully formed yet so the ICPE website will keep involving to reflect such info. ------------------------------------------------------------------------ ORGANIZING COMMITTEE

    General Chairs
    Dan Feng, Huazhong University of Science and Technology, Wuhan, China
    Steffen Becker, University of Stuttgart, Germany

    Local Chair
    Arthur Kang, Inspur, Peking, China

    Research Program Chairs
    Nikolas Herbst, University of Wuerzburg, Germany
    Philipp Leitner, Chalmers | University of Gothenburg, Sweden

    Industry Track Chair
    Yaoqing Gao, Huawei, Canada
    Norbert Schmitt, University of Wuerzburg, Germany

    Artifact Evaluation Chairs
    Emma Soederberg, Lund University, Sweden
    Simon Eismann, University of Wuerzburg, Germany

    Wip/Vision Chair
    Cristina L. Abad, ESPOL, Ecuador

    Workshops Chairs
    Joerg Domaschka, University of Ulm, Germany
    Fang Wang, Huazhong University of Science and Technology, Wuhan, China

    Tutorials Chairs
    David Daly, MongoDB, US
    Shuibing He, Zhejiang University, Hangzhou, China

    Posters and Demos Chairs
    Christoph Laaber, University of Zurich, Switzerland
    Wen Xia, Harbin Institute of Technology, Shenzhen, China

    Data Challenge Chairs
    Cor-Paul Bezemer, University of Alberta, Canada
    David Daly, MongoDB, US
    Weiyi Shang, Concordia University, Canada

    Awards Chairs
    Klaus-Dieter Lange, Hewlett Packard Enterprise, Texas, US
    Diwakar Krishnamurthy, University of Calgary, Canada

    Publicity Chairs
    Martin Straesser, University of Wuerzburg, Germany
    Yuchong Hu, Huazhong University of Science and Technology, Wuhan, China
    Dmitry Duplyakin, University of Utah, US

    Social-Media Chair
    Hamdy Michael Ayas, Chalmers, University of Gothenburg, Sweden

    Finance Chair
    Steven Deng, Inspur, China

    Publications Chair
    Alessandro Papadopoulos, Maelardalen University, Sweden

    Web Chair
    Thomas Prantl, University of Wuerzburg, Germany

    Virtualisation/Hybridisation Chair
    Juergen Cito, TU Vienna, Austria

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)