• ICPE 2019 - Call for Contributions (deadlines extended!)

    From analucia@gmail.com@21:1/5 to All on Fri Oct 19 01:03:42 2018
    Call for Contributions -----------------------------------------------------------------------
    ICPE 2019
    10th ACM/SPEC International Conference on Performance Engineering
    Mumbai, India
    April 7-11, 2019

    Web: https://icpe2019.spec.org/
    Twitter: https://twitter.com/ICPEconf/
    Facebook: https://www.facebook.com/ICPE2019/ ----------------------------------------------------------------------- IMPORTANT DATES

    Research and industrial abstracts submission: Oct 30, 2018 (New)
    Research and industrial papers submission: Nov 1, 2018 (New)
    Research and industrial paper notification: Dec 07, 2018
    Camera-ready: Feb 15, 2019

    Artifact registration: Dec 14, 2018
    Artifact submission: Dec 22, 2018
    Artifact notification: Feb 08, 2019

    Work-in-progress/vision papers submission: Jan 11, 2019 Work-in-progress/vision paper notification: Feb 8, 2019
    Camera-ready: Feb 22, 2019

    Poster/demo submission: Jan 14, 2019
    Poster/demo notification: Jan 28, 2019
    Camera-ready: Feb 15, 2019

    Workshop Proposals submission: Oct 24, 2018 (New)
    Workshop Proposals Notification: Oct 30, 2018 (New)

    Tutorial proposals submission: Jan 14, 2019
    Tutorial proposals notification: Jan 28, 2019 -----------------------------------------------------------------------

    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.

    This year's main theme is "performance engineering in the Artificial Intelligence era." We are looking for contributions that use AI techniques to enhance the performance modeling, estimation, and optimization of complex systems. At the same time we
    are looking for contributions that analyze and improve AI systems.

    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

    Performance and software development processes/paradigms
    * Software performance patterns and anti-patterns
    * Software/performance tool interoperability (models and data interchange formats)
    * Performance-oriented design, implementation and configuration
    * 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
    * Collaboration of development and operation (DevOps) for performance
    * Performance and agile methods
    * Performance in Service-Oriented Architectures (SOA)
    * Performance of microservice architectures and containers
    * DevOps and Performance

    Performance measurement, monitoring and analysis
    * Performance measurement and monitoring techniques
    * Analysis of measured application performance data
    * Application tracing and profiling
    * Workload characterization techniques
    * Experimental design
    * Tools for performance testing, measurement, profiling and tuning

    * 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

    Performance modeling and evaluation in different environments and application domains
    * Web-based systems, e-business, Web services
    * Big data systems and data analytics
    * Deep-learning systems systems
    * Internet of Things
    * Social networks
    * Cyber-physical systems
    * Industrial Internet (Industry 4.0)
    * Blockchain
    * Virtualization and cloud computing
    * Autonomous/adaptive systems
    * Transaction-oriented systems
    * Communication networks
    * Parallel and distributed systems
    * Embedded systems
    * Multi-core systems
    * Cluster and grid computing environments
    * High performance computing
    * Event-based systems
    * Real-time and multimedia systems
    * Low-latency systems
    * Peer-to-peer, mobile and wireless systems

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

    Authors are invited to submit original, unpublished papers that are not being considered in any other 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/vision papers for ongoing innovative work. Different acceptance criteria apply based on the expected content of the individual
    contribution types.

    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. For detailed submission instructions, please visit: https://icpe2019.spec.org/tracks-and-submissions.html

    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 appear in the ICPE 2019 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 2019 Artifact Track. If an artifact is accepted, it will receive one of the following badges in the text of the paper and in the ACM Digital Library:
    i. Artifacts Evaluated - Functional: The artifacts are complete, well-documented and allow to obtain the same results as the paper.
    ii. Artifacts Evaluated - Reusable: As above, but the artifacts are of such a high quality that they can be reused as is on other data sets, or for other purposes.
    iii. Artifacts Available: For artifacts made permanently available. This will only be awarded in conjunction with one of the Artifacts Evaluated badges.

    The highest quality papers, judged by multiple relevant factors, will be recognized with an award. Authors of selected papers will be invited to submit an extended version of their work to a journal.

    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.)

    Jose Nelson Amaral, University of Alberta, Canada
    Cristiana Amza, University of Toronto, Canada
    Alberto Avritzer, EsulabSolutions, Inc., USA
    Steffen Becker, University of Stuttgart, Germany
    Umesh Bellur, IIT Bombay, India
    Simona Bernardi, Universidad de Zaragoza, Spain
    Cor-Paul Bezemer, University of Alberta, Canada
    Andre Bondi, Software Performance and Scalability Consulting LLC, USA
    Radu Calinescu, University of York, UK
    Lucy Cherkasova, ARM Research, USA
    Vittorio Cortellessa, University of L’Aquila, Italy
    Vittoria De Nitto Personé, University of Rome Tor Vergata, Italy
    Tadashi Dohi, Hiroshima University, Japan
    Hamoun Ghanbari, Amazon, Canada
    Abel Gómez, Universitat Oberta de Catalunya, Spain
    Wilhelm Hasselbring, Kiel University, Germany
    André van Hoorn, University of Stuttgart, Germany
    Alexandru Iosup, Vrije Universiteit Amsterdam and TU Delft, The Netherlands Zhen Ming Jack Jiang, York University, Canada
    Evangelia Kalyvianaki, University of Cambridge, UK
    Hamzeh Khazaei, University of Alberta, Canada
    Samuel Kounev, University of Würzburg, Germany
    Anne Koziolek, Karlsruhe Institute of Technology, Germany
    Diwakar Krishnamurthy, University of Calgary, Canada
    Patrick P. C. Lee, The Chinese University of Hong Kong, Hong Kong
    Jim Zhanwen Li, NICTA, Australia
    Yan Liu, Concordia University, Canada
    Catalina M. Lladó, Universitat Illes Balears, Spain
    Andrea Marin, University of Venice, Italy
    Stefano Marrone, Università degli Studi della Campania "Luigi Vanvitelli", Italy
    Daniel Menasce, George Mason University, USA
    Ningfang Mi, Northeastern University, USA
    Raffaela Mirandola, Politecnico di Milano, Italy
    John Murphy, University College Dublin, Ireland
    Juan F. Perez, Universidad del Rosario, Colombia
    Diego Perez-Palacin, Linnaeus University, Sweden
    Dorina Petriu, Carleton University, Canada
    Evgenia Smirni, College of William and Mary, USA
    Mark Stoodley, IBM, Canada
    Nigel Thomas, Newcastle University, UK
    Mirco Tribastone, IMT Institute for Advanced Studies Lucca, Italy
    Catia Trubiani, Gran Sasso Science Institute, Italy
    Petr Tuma, Charles University, Czech Republic
    Ana Lucia Varbanescu, University of Amsterdam, The Netherlands
    Enrico Vicario, University of Florence, Italy
    Murray Woodside, Carleton University, Canada
    Huaming Wu, Tianjin University, China
    Feng Yan, University of Nevada, Reno, USA
    Xiaoyun Zhu, Cloudera, USA ----------------------------------------------------------------------- ORGANIZING COMMITTEE

    General Chairs
    *Antinisca Di Marco, University of L'Aquila, Italy
    *Varsha Apte, IIT Bombay, India

    Research Program Chairs
    *Marin Litoiu, York University, Canada
    *José Merseguer, Universidad de Zaragoza, Spain

    Industry Program Chair
    *David Schmidt, HPE, USA

    Artifact Evaluation Chairs
    *Matthew Forshaw, Newcastle, UK
    *Meikel Poess, Oracle, USA

    Workshop Chairs
    *Davide Arcelli, University of L'Aquila, Italy
    *Elena Gómez-Martínez, Universidad Autónoma de Madrid, Spain

    Tutorials Chair
    *Radu Calinescu, University of York, UK
    *Enrico Vicario, University of Florence, Italy

    Posters and Demos Chair
    *Tadashi Dohi, Hiroshima University, Japan

    Work in Progress and Vision Track Chair
    *Huaming Wu, Tianjin University, China
    *Mirco Tribastone, IMT School for Advanced Studies Lucca, Italy

    Awards Chairs
    *André van Hoorn, University of Stuttgart, Germany
    *Tilmman Rabl, TU Berlin, Germany

    Finance Chair
    *Manoj Nambiar, TCS Research, India

    Publications Chair
    *Philipp Leitner, University of Gothenburg, Sweden

    Publicity Chair
    *Abhay Pendse, Persistent Systems, India
    *Ana Lucia Varbanescu, University of Amsterdam, Netherland
    *Nikolas Herbst, University of Würzburg, Germany

    Social Media Chair
    *Vipul Mathur, Peritus AI, India

    Web Site Chair
    *Joydeep Mukherjee, York University, Canada

    Registration Chair
    *Rupinder Virk, TCS, India

    Local Arrangements Chair
    *Shruti Kunde, TCS, India

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    * Origin: fsxNet Usenet Gateway (21:1/5)