[hpc-announce] ACM/SPEC ICPE 2019: Call for Contributions

Joydeep Mukherjee jmukherj at ucalgary.ca
Thu Jun 14 15:36:47 CDT 2018

                          Call for Contributions
                                ICPE 2019
    10th ACM/SPEC International Conference on Performance Engineering
            Sponsored by ACM SIGMETRICS, SIGSOFT, and SPEC RG
                            Mumbai, India
                           April 7-11, 2019

                     Web: https://icpe2019.spec.org/
                 Twitter: https://twitter.com/ICPEconf/

Research and industrial/experience abstracts submission: Oct 13, 2018
Research and industrial/experience papers submission:    Oct 15, 2018
Research and industrial/experience 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 12, 2018
Workshop Proposals Notification: Oct 29, 2018

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.

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, AUSTRAC, 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

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

My sincerest apologies if you have received this email before.

Joydeep Mukherjee
Post-doc Visitor, York University, Toronto, Canada

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